linux-stable/arch/x86/kernel/smpboot.c

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// SPDX-License-Identifier: GPL-2.0-or-later
/*
* x86 SMP booting functions
*
* (c) 1995 Alan Cox, Building #3 <alan@lxorguk.ukuu.org.uk>
* (c) 1998, 1999, 2000, 2009 Ingo Molnar <mingo@redhat.com>
* Copyright 2001 Andi Kleen, SuSE Labs.
*
* Much of the core SMP work is based on previous work by Thomas Radke, to
* whom a great many thanks are extended.
*
* Thanks to Intel for making available several different Pentium,
* Pentium Pro and Pentium-II/Xeon MP machines.
* Original development of Linux SMP code supported by Caldera.
*
* Fixes
* Felix Koop : NR_CPUS used properly
* Jose Renau : Handle single CPU case.
* Alan Cox : By repeated request 8) - Total BogoMIPS report.
* Greg Wright : Fix for kernel stacks panic.
* Erich Boleyn : MP v1.4 and additional changes.
* Matthias Sattler : Changes for 2.1 kernel map.
* Michel Lespinasse : Changes for 2.1 kernel map.
* Michael Chastain : Change trampoline.S to gnu as.
* Alan Cox : Dumb bug: 'B' step PPro's are fine
* Ingo Molnar : Added APIC timers, based on code
* from Jose Renau
* Ingo Molnar : various cleanups and rewrites
* Tigran Aivazian : fixed "0.00 in /proc/uptime on SMP" bug.
* Maciej W. Rozycki : Bits for genuine 82489DX APICs
* Andi Kleen : Changed for SMP boot into long mode.
* Martin J. Bligh : Added support for multi-quad systems
* Dave Jones : Report invalid combinations of Athlon CPUs.
* Rusty Russell : Hacked into shape for new "hotplug" boot process.
* Andi Kleen : Converted to new state machine.
* Ashok Raj : CPU hotplug support
* Glauber Costa : i386 and x86_64 integration
*/
#define pr_fmt(fmt) KBUILD_MODNAME ": " fmt
#include <linux/init.h>
#include <linux/smp.h>
#include <linux/export.h>
#include <linux/sched.h>
#include <linux/sched/topology.h>
#include <linux/sched/hotplug.h>
#include <linux/sched/task_stack.h>
#include <linux/percpu.h>
mm: remove include/linux/bootmem.h Move remaining definitions and declarations from include/linux/bootmem.h into include/linux/memblock.h and remove the redundant header. The includes were replaced with the semantic patch below and then semi-automated removal of duplicated '#include <linux/memblock.h> @@ @@ - #include <linux/bootmem.h> + #include <linux/memblock.h> [sfr@canb.auug.org.au: dma-direct: fix up for the removal of linux/bootmem.h] Link: http://lkml.kernel.org/r/20181002185342.133d1680@canb.auug.org.au [sfr@canb.auug.org.au: powerpc: fix up for removal of linux/bootmem.h] Link: http://lkml.kernel.org/r/20181005161406.73ef8727@canb.auug.org.au [sfr@canb.auug.org.au: x86/kaslr, ACPI/NUMA: fix for linux/bootmem.h removal] Link: http://lkml.kernel.org/r/20181008190341.5e396491@canb.auug.org.au Link: http://lkml.kernel.org/r/1536927045-23536-30-git-send-email-rppt@linux.vnet.ibm.com Signed-off-by: Mike Rapoport <rppt@linux.vnet.ibm.com> Signed-off-by: Stephen Rothwell <sfr@canb.auug.org.au> Acked-by: Michal Hocko <mhocko@suse.com> Cc: Catalin Marinas <catalin.marinas@arm.com> Cc: Chris Zankel <chris@zankel.net> Cc: "David S. Miller" <davem@davemloft.net> Cc: Geert Uytterhoeven <geert@linux-m68k.org> Cc: Greentime Hu <green.hu@gmail.com> Cc: Greg Kroah-Hartman <gregkh@linuxfoundation.org> Cc: Guan Xuetao <gxt@pku.edu.cn> Cc: Ingo Molnar <mingo@redhat.com> Cc: "James E.J. Bottomley" <jejb@parisc-linux.org> Cc: Jonas Bonn <jonas@southpole.se> Cc: Jonathan Corbet <corbet@lwn.net> Cc: Ley Foon Tan <lftan@altera.com> Cc: Mark Salter <msalter@redhat.com> Cc: Martin Schwidefsky <schwidefsky@de.ibm.com> Cc: Matt Turner <mattst88@gmail.com> Cc: Michael Ellerman <mpe@ellerman.id.au> Cc: Michal Simek <monstr@monstr.eu> Cc: Palmer Dabbelt <palmer@sifive.com> Cc: Paul Burton <paul.burton@mips.com> Cc: Richard Kuo <rkuo@codeaurora.org> Cc: Richard Weinberger <richard@nod.at> Cc: Rich Felker <dalias@libc.org> Cc: Russell King <linux@armlinux.org.uk> Cc: Serge Semin <fancer.lancer@gmail.com> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Tony Luck <tony.luck@intel.com> Cc: Vineet Gupta <vgupta@synopsys.com> Cc: Yoshinori Sato <ysato@users.sourceforge.jp> Signed-off-by: Andrew Morton <akpm@linux-foundation.org> Signed-off-by: Linus Torvalds <torvalds@linux-foundation.org>
2018-10-30 22:09:49 +00:00
#include <linux/memblock.h>
#include <linux/err.h>
#include <linux/nmi.h>
#include <linux/tboot.h>
include cleanup: Update gfp.h and slab.h includes to prepare for breaking implicit slab.h inclusion from percpu.h percpu.h is included by sched.h and module.h and thus ends up being included when building most .c files. percpu.h includes slab.h which in turn includes gfp.h making everything defined by the two files universally available and complicating inclusion dependencies. percpu.h -> slab.h dependency is about to be removed. Prepare for this change by updating users of gfp and slab facilities include those headers directly instead of assuming availability. As this conversion needs to touch large number of source files, the following script is used as the basis of conversion. http://userweb.kernel.org/~tj/misc/slabh-sweep.py The script does the followings. * Scan files for gfp and slab usages and update includes such that only the necessary includes are there. ie. if only gfp is used, gfp.h, if slab is used, slab.h. * When the script inserts a new include, it looks at the include blocks and try to put the new include such that its order conforms to its surrounding. It's put in the include block which contains core kernel includes, in the same order that the rest are ordered - alphabetical, Christmas tree, rev-Xmas-tree or at the end if there doesn't seem to be any matching order. * If the script can't find a place to put a new include (mostly because the file doesn't have fitting include block), it prints out an error message indicating which .h file needs to be added to the file. The conversion was done in the following steps. 1. The initial automatic conversion of all .c files updated slightly over 4000 files, deleting around 700 includes and adding ~480 gfp.h and ~3000 slab.h inclusions. The script emitted errors for ~400 files. 2. Each error was manually checked. Some didn't need the inclusion, some needed manual addition while adding it to implementation .h or embedding .c file was more appropriate for others. This step added inclusions to around 150 files. 3. The script was run again and the output was compared to the edits from #2 to make sure no file was left behind. 4. Several build tests were done and a couple of problems were fixed. e.g. lib/decompress_*.c used malloc/free() wrappers around slab APIs requiring slab.h to be added manually. 5. The script was run on all .h files but without automatically editing them as sprinkling gfp.h and slab.h inclusions around .h files could easily lead to inclusion dependency hell. Most gfp.h inclusion directives were ignored as stuff from gfp.h was usually wildly available and often used in preprocessor macros. Each slab.h inclusion directive was examined and added manually as necessary. 6. percpu.h was updated not to include slab.h. 7. Build test were done on the following configurations and failures were fixed. CONFIG_GCOV_KERNEL was turned off for all tests (as my distributed build env didn't work with gcov compiles) and a few more options had to be turned off depending on archs to make things build (like ipr on powerpc/64 which failed due to missing writeq). * x86 and x86_64 UP and SMP allmodconfig and a custom test config. * powerpc and powerpc64 SMP allmodconfig * sparc and sparc64 SMP allmodconfig * ia64 SMP allmodconfig * s390 SMP allmodconfig * alpha SMP allmodconfig * um on x86_64 SMP allmodconfig 8. percpu.h modifications were reverted so that it could be applied as a separate patch and serve as bisection point. Given the fact that I had only a couple of failures from tests on step 6, I'm fairly confident about the coverage of this conversion patch. If there is a breakage, it's likely to be something in one of the arch headers which should be easily discoverable easily on most builds of the specific arch. Signed-off-by: Tejun Heo <tj@kernel.org> Guess-its-ok-by: Christoph Lameter <cl@linux-foundation.org> Cc: Ingo Molnar <mingo@redhat.com> Cc: Lee Schermerhorn <Lee.Schermerhorn@hp.com>
2010-03-24 08:04:11 +00:00
#include <linux/gfp.h>
#include <linux/cpuidle.h>
mm: replace all open encodings for NUMA_NO_NODE Patch series "Replace all open encodings for NUMA_NO_NODE", v3. All these places for replacement were found by running the following grep patterns on the entire kernel code. Please let me know if this might have missed some instances. This might also have replaced some false positives. I will appreciate suggestions, inputs and review. 1. git grep "nid == -1" 2. git grep "node == -1" 3. git grep "nid = -1" 4. git grep "node = -1" This patch (of 2): At present there are multiple places where invalid node number is encoded as -1. Even though implicitly understood it is always better to have macros in there. Replace these open encodings for an invalid node number with the global macro NUMA_NO_NODE. This helps remove NUMA related assumptions like 'invalid node' from various places redirecting them to a common definition. Link: http://lkml.kernel.org/r/1545127933-10711-2-git-send-email-anshuman.khandual@arm.com Signed-off-by: Anshuman Khandual <anshuman.khandual@arm.com> Reviewed-by: David Hildenbrand <david@redhat.com> Acked-by: Jeff Kirsher <jeffrey.t.kirsher@intel.com> [ixgbe] Acked-by: Jens Axboe <axboe@kernel.dk> [mtip32xx] Acked-by: Vinod Koul <vkoul@kernel.org> [dmaengine.c] Acked-by: Michael Ellerman <mpe@ellerman.id.au> [powerpc] Acked-by: Doug Ledford <dledford@redhat.com> [drivers/infiniband] Cc: Joseph Qi <jiangqi903@gmail.com> Cc: Hans Verkuil <hverkuil@xs4all.nl> Cc: Stephen Rothwell <sfr@canb.auug.org.au> Signed-off-by: Andrew Morton <akpm@linux-foundation.org> Signed-off-by: Linus Torvalds <torvalds@linux-foundation.org>
2019-03-05 23:42:58 +00:00
#include <linux/numa.h>
mm: reorder includes after introduction of linux/pgtable.h The replacement of <asm/pgrable.h> with <linux/pgtable.h> made the include of the latter in the middle of asm includes. Fix this up with the aid of the below script and manual adjustments here and there. import sys import re if len(sys.argv) is not 3: print "USAGE: %s <file> <header>" % (sys.argv[0]) sys.exit(1) hdr_to_move="#include <linux/%s>" % sys.argv[2] moved = False in_hdrs = False with open(sys.argv[1], "r") as f: lines = f.readlines() for _line in lines: line = _line.rstrip(' ') if line == hdr_to_move: continue if line.startswith("#include <linux/"): in_hdrs = True elif not moved and in_hdrs: moved = True print hdr_to_move print line Signed-off-by: Mike Rapoport <rppt@linux.ibm.com> Signed-off-by: Andrew Morton <akpm@linux-foundation.org> Cc: Arnd Bergmann <arnd@arndb.de> Cc: Borislav Petkov <bp@alien8.de> Cc: Brian Cain <bcain@codeaurora.org> Cc: Catalin Marinas <catalin.marinas@arm.com> Cc: Chris Zankel <chris@zankel.net> Cc: "David S. Miller" <davem@davemloft.net> Cc: Geert Uytterhoeven <geert@linux-m68k.org> Cc: Greentime Hu <green.hu@gmail.com> Cc: Greg Ungerer <gerg@linux-m68k.org> Cc: Guan Xuetao <gxt@pku.edu.cn> Cc: Guo Ren <guoren@kernel.org> Cc: Heiko Carstens <heiko.carstens@de.ibm.com> Cc: Helge Deller <deller@gmx.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: Ley Foon Tan <ley.foon.tan@intel.com> Cc: Mark Salter <msalter@redhat.com> Cc: Matthew Wilcox <willy@infradead.org> Cc: Matt Turner <mattst88@gmail.com> Cc: Max Filippov <jcmvbkbc@gmail.com> Cc: Michael Ellerman <mpe@ellerman.id.au> Cc: Michal Simek <monstr@monstr.eu> Cc: Nick Hu <nickhu@andestech.com> Cc: Paul Walmsley <paul.walmsley@sifive.com> Cc: Richard Weinberger <richard@nod.at> Cc: Rich Felker <dalias@libc.org> Cc: Russell King <linux@armlinux.org.uk> Cc: Stafford Horne <shorne@gmail.com> Cc: Thomas Bogendoerfer <tsbogend@alpha.franken.de> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Tony Luck <tony.luck@intel.com> Cc: Vincent Chen <deanbo422@gmail.com> Cc: Vineet Gupta <vgupta@synopsys.com> Cc: Will Deacon <will@kernel.org> Cc: Yoshinori Sato <ysato@users.sourceforge.jp> Link: http://lkml.kernel.org/r/20200514170327.31389-4-rppt@kernel.org Signed-off-by: Linus Torvalds <torvalds@linux-foundation.org>
2020-06-09 04:32:42 +00:00
#include <linux/pgtable.h>
x86, sched: check for counters overflow in frequency invariant accounting The product mcnt * arch_max_freq_ratio can overflows u64. For context, a large value for arch_max_freq_ratio would be 5000, corresponding to a turbo_freq/base_freq ratio of 5 (normally it's more like 1500-2000). A large increment frequency for the MPERF counter would be 5GHz (the base clock of all CPUs on the market today is less than that). With these figures, a CPU would need to go without a scheduler tick for around 8 days for the u64 overflow to happen. It is unlikely, but the check is warranted. Under similar conditions, the difference acnt of two consecutive APERF readings can overflow as well. In these circumstances is appropriate to disable frequency invariant accounting: the feature relies on measures of the clock frequency done at every scheduler tick, which need to be "fresh" to be at all meaningful. A note on i386: prior to version 5.1, the GCC compiler didn't have the builtin function __builtin_mul_overflow. In these GCC versions the macro check_mul_overflow needs __udivdi3() to do (u64)a/b, which the kernel doesn't provide. For this reason this change fails to build on i386 if GCC<5.1, and we protect the entire frequency invariant code behind CONFIG_X86_64 (special thanks to "kbuild test robot" <lkp@intel.com>). Fixes: 1567c3e3467c ("x86, sched: Add support for frequency invariance") Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200531182453.15254-2-ggherdovich@suse.cz
2020-05-31 18:24:51 +00:00
#include <linux/overflow.h>
#include <linux/syscore_ops.h>
#include <asm/acpi.h>
#include <asm/desc.h>
#include <asm/nmi.h>
#include <asm/irq.h>
#include <asm/realmode.h>
#include <asm/cpu.h>
#include <asm/numa.h>
#include <asm/tlbflush.h>
#include <asm/mtrr.h>
#include <asm/mwait.h>
#include <asm/apic.h>
#include <asm/io_apic.h>
#include <asm/fpu/api.h>
x86: fix wakeup_cpu with numaq/es7000, v2 Impact: fix secondary-CPU wakeup/init path with numaq and es7000 While looking at wakeup_secondary_cpu for WAKE_SECONDARY_VIA_NMI: |#ifdef WAKE_SECONDARY_VIA_NMI |/* | * Poke the other CPU in the eye via NMI to wake it up. Remember that the normal | * INIT, INIT, STARTUP sequence will reset the chip hard for us, and this | * won't ... remember to clear down the APIC, etc later. | */ |static int __devinit |wakeup_secondary_cpu(int logical_apicid, unsigned long start_eip) |{ | unsigned long send_status, accept_status = 0; | int maxlvt; |... | if (APIC_INTEGRATED(apic_version[phys_apicid])) { | maxlvt = lapic_get_maxlvt(); I noticed that there is no warning about undefined phys_apicid... because WAKE_SECONDARY_VIA_NMI and WAKE_SECONDARY_VIA_INIT can not be defined at the same time. So NUMAQ is using wrong wakeup_secondary_cpu. WAKE_SECONDARY_VIA_NMI, WAKE_SECONDARY_VIA_INIT and WAKE_SECONDARY_VIA_MIP are variants of a weird and fragile preprocessor-driven "HAL" mechanisms to specify the kind of secondary-CPU wakeup strategy a given x86 kernel will use. The vast majority of systems want to use INIT for secondary wakeup - NUMAQ uses an NMI, (old-style-) ES7000 uses 'MIP' (a firmware driven in-memory flag to let secondaries continue). So convert these mechanisms to x86_quirks and add a ->wakeup_secondary_cpu() method to specify the rare exception to the sane default. Extend genapic accordingly as well, for 32-bit. While looking further, I noticed that functions in wakecup.h for numaq and es7000 are different to the default in mach_wakecpu.h - but smpboot.c will only use default mach_wakecpu.h with smphook.h. So we need to add mach_wakecpu.h for mach_generic, to properly support numaq and es7000, and vectorize the following SMP init methods: int trampoline_phys_low; int trampoline_phys_high; void (*wait_for_init_deassert)(atomic_t *deassert); void (*smp_callin_clear_local_apic)(void); void (*store_NMI_vector)(unsigned short *high, unsigned short *low); void (*restore_NMI_vector)(unsigned short *high, unsigned short *low); void (*inquire_remote_apic)(int apicid); Signed-off-by: Yinghai Lu <yinghai@kernel.org> Signed-off-by: Ingo Molnar <mingo@elte.hu>
2008-11-16 11:12:49 +00:00
#include <asm/setup.h>
#include <asm/uv/uv.h>
#include <linux/mc146818rtc.h>
#include <asm/i8259.h>
2013-09-27 14:35:54 +00:00
#include <asm/misc.h>
#include <asm/qspinlock.h>
x86,sched: Allow topologies where NUMA nodes share an LLC Intel's Skylake Server CPUs have a different LLC topology than previous generations. When in Sub-NUMA-Clustering (SNC) mode, the package is divided into two "slices", each containing half the cores, half the LLC, and one memory controller and each slice is enumerated to Linux as a NUMA node. This is similar to how the cores and LLC were arranged for the Cluster-On-Die (CoD) feature. CoD allowed the same cache line to be present in each half of the LLC. But, with SNC, each line is only ever present in *one* slice. This means that the portion of the LLC *available* to a CPU depends on the data being accessed: Remote socket: entire package LLC is shared Local socket->local slice: data goes into local slice LLC Local socket->remote slice: data goes into remote-slice LLC. Slightly higher latency than local slice LLC. The biggest implication from this is that a process accessing all NUMA-local memory only sees half the LLC capacity. The CPU describes its cache hierarchy with the CPUID instruction. One of the CPUID leaves enumerates the "logical processors sharing this cache". This information is used for scheduling decisions so that tasks move more freely between CPUs sharing the cache. But, the CPUID for the SNC configuration discussed above enumerates the LLC as being shared by the entire package. This is not 100% precise because the entire cache is not usable by all accesses. But, it *is* the way the hardware enumerates itself, and this is not likely to change. The userspace visible impact of all the above is that the sysfs info reports the entire LLC as being available to the entire package. As noted above, this is not true for local socket accesses. This patch does not correct the sysfs info. It is the same, pre and post patch. The current code emits the following warning: sched: CPU #3's llc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. The warning is coming from the topology_sane() check in smpboot.c because the topology is not matching the expectations of the model for obvious reasons. To fix this, add a vendor and model specific check to never call topology_sane() for these systems. Also, just like "Cluster-on-Die" disable the "coregroup" sched_domain_topology_level and use NUMA information from the SRAT alone. This is OK at least on the hardware we are immediately concerned about because the LLC sharing happens at both the slice and at the package level, which are also NUMA boundaries. Signed-off-by: Alison Schofield <alison.schofield@intel.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Reviewed-by: Borislav Petkov <bp@suse.de> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: brice.goglin@gmail.com Cc: Dave Hansen <dave.hansen@linux.intel.com> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: "H. Peter Anvin" <hpa@linux.intel.com> Cc: Tim Chen <tim.c.chen@linux.intel.com> Link: https://lkml.kernel.org/r/20180407002130.GA18984@alison-desk.jf.intel.com
2018-04-07 00:21:30 +00:00
#include <asm/intel-family.h>
#include <asm/cpu_device_id.h>
#include <asm/spec-ctrl.h>
x86: Don't include linux/irq.h from asm/hardirq.h The next patch in this series will have to make the definition of irq_cpustat_t available to entering_irq(). Inclusion of asm/hardirq.h into asm/apic.h would cause circular header dependencies like asm/smp.h asm/apic.h asm/hardirq.h linux/irq.h linux/topology.h linux/smp.h asm/smp.h or linux/gfp.h linux/mmzone.h asm/mmzone.h asm/mmzone_64.h asm/smp.h asm/apic.h asm/hardirq.h linux/irq.h linux/irqdesc.h linux/kobject.h linux/sysfs.h linux/kernfs.h linux/idr.h linux/gfp.h and others. This causes compilation errors because of the header guards becoming effective in the second inclusion: symbols/macros that had been defined before wouldn't be available to intermediate headers in the #include chain anymore. A possible workaround would be to move the definition of irq_cpustat_t into its own header and include that from both, asm/hardirq.h and asm/apic.h. However, this wouldn't solve the real problem, namely asm/harirq.h unnecessarily pulling in all the linux/irq.h cruft: nothing in asm/hardirq.h itself requires it. Also, note that there are some other archs, like e.g. arm64, which don't have that #include in their asm/hardirq.h. Remove the linux/irq.h #include from x86' asm/hardirq.h. Fix resulting compilation errors by adding appropriate #includes to *.c files as needed. Note that some of these *.c files could be cleaned up a bit wrt. to their set of #includes, but that should better be done from separate patches, if at all. Signed-off-by: Nicolai Stange <nstange@suse.de> Signed-off-by: Thomas Gleixner <tglx@linutronix.de>
2018-07-29 10:15:33 +00:00
#include <asm/hw_irq.h>
#include <asm/stackprotector.h>
/* representing HT siblings of each logical CPU */
2012-06-11 09:56:52 +00:00
DEFINE_PER_CPU_READ_MOSTLY(cpumask_var_t, cpu_sibling_map);
EXPORT_PER_CPU_SYMBOL(cpu_sibling_map);
/* representing HT and core siblings of each logical CPU */
2012-06-11 09:56:52 +00:00
DEFINE_PER_CPU_READ_MOSTLY(cpumask_var_t, cpu_core_map);
EXPORT_PER_CPU_SYMBOL(cpu_core_map);
/* representing HT, core, and die siblings of each logical CPU */
DEFINE_PER_CPU_READ_MOSTLY(cpumask_var_t, cpu_die_map);
EXPORT_PER_CPU_SYMBOL(cpu_die_map);
2012-06-11 09:56:52 +00:00
DEFINE_PER_CPU_READ_MOSTLY(cpumask_var_t, cpu_llc_shared_map);
DEFINE_PER_CPU_READ_MOSTLY(cpumask_var_t, cpu_l2c_shared_map);
/* Per CPU bogomips and other parameters */
DEFINE_PER_CPU_READ_MOSTLY(struct cpuinfo_x86, cpu_info);
EXPORT_PER_CPU_SYMBOL(cpu_info);
x86/topology: Create logical package id For per package oriented services we must be able to rely on the number of CPU packages to be within bounds. Create a tracking facility, which - calculates the number of possible packages depending on nr_cpu_ids after boot - makes sure that the package id is within the number of possible packages. If the apic id is outside we map it to a logical package id if there is enough space available. Provide interfaces for drivers to query the mapping and do translations from physcial to logical ids. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Andi Kleen <andi.kleen@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@amacapital.net> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Borislav Petkov <bp@alien8.de> Cc: Brian Gerst <brgerst@gmail.com> Cc: Denys Vlasenko <dvlasenk@redhat.com> Cc: H. Peter Anvin <hpa@zytor.com> Cc: Harish Chegondi <harish.chegondi@intel.com> Cc: Jacob Pan <jacob.jun.pan@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Kan Liang <kan.liang@intel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Luis R. Rodriguez <mcgrof@suse.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: Vince Weaver <vincent.weaver@maine.edu> Cc: linux-kernel@vger.kernel.org Link: http://lkml.kernel.org/r/20160222221011.541071755@linutronix.de Signed-off-by: Ingo Molnar <mingo@kernel.org>
2016-02-22 22:19:15 +00:00
/* Logical package management. We might want to allocate that dynamically */
unsigned int __max_logical_packages __read_mostly;
EXPORT_SYMBOL(__max_logical_packages);
x86/smp: Fix __max_logical_packages value setup Frank reported kernel panic when he disabled several cores in BIOS via following option: Core Disable Bitmap(Hex) [0] with number 0xFFE, which leaves 16 CPUs in system (out of 48). The kernel panic below goes along with following messages: smpboot: Max logical packages: 2^M smpboot: APIC(0) Converting physical 0 to logical package 0^M smpboot: APIC(20) Converting physical 1 to logical package 1^M smpboot: APIC(40) Package 2 exceeds logical package map^M smpboot: CPU 8 APICId 40 disabled^M smpboot: APIC(60) Package 3 exceeds logical package map^M smpboot: CPU 12 APICId 60 disabled^M ... general protection fault: 0000 [#1] SMP^M Modules linked in:^M CPU: 15 PID: 1 Comm: swapper/0 Not tainted 4.7.0-rc5+ #1^M Hardware name: SGI UV300/UV300, BIOS SGI UV 300 series BIOS 05/25/2016^M task: ffff8801673e0000 ti: ffff8801673ac000 task.ti: ffff8801673ac000^M RIP: 0010:[<ffffffff81014d54>] [<ffffffff81014d54>] uncore_change_context+0xd4/0x180^M ... [<ffffffff810158ac>] uncore_event_init_cpu+0x6c/0x70^M [<ffffffff81d8c91c>] intel_uncore_init+0x1c2/0x2dd^M [<ffffffff81d8c75a>] ? uncore_cpu_setup+0x17/0x17^M [<ffffffff81002190>] do_one_initcall+0x50/0x190^M [<ffffffff810ab193>] ? parse_args+0x293/0x480^M [<ffffffff81d87365>] kernel_init_freeable+0x1a5/0x249^M [<ffffffff81d86a35>] ? set_debug_rodata+0x12/0x12^M [<ffffffff816dc19e>] kernel_init+0xe/0x110^M [<ffffffff816e93bf>] ret_from_fork+0x1f/0x40^M [<ffffffff816dc190>] ? rest_init+0x80/0x80^M The reason for the panic is wrong value of __max_logical_packages, which lets logical_package_map uninitialized and the uncore code relying on this map being properly initialized (maybe we should add some safety checks there as well). The __max_logical_packages is computed as: DIV_ROUND_UP(total_cpus, ncpus); - ncpus being number of cores With above BIOS setup we get total_cpus == 16 which set __max_logical_packages to 2 (ncpus is 12). Once topology_update_package_map processes CPU with logical pkg over 2 we display above messages and fail to initialize the physical_to_logical_pkg map, which makes the uncore code crash. The fix is to remove logical_package_map bitmap completely and keep and update the logical_packages number instead. After we enumerate all the present CPUs, we check if the enumerated logical packages count is within its computed maximum from BIOS data. If it's not the case, we set this maximum to the new enumerated value and freeze any new addition of logical packages. The freeze is because lot of init code like uncore/rapl/cqm depends on having maximum logical package value set to allocate their data, so we can't change it later on. Prarit Bhargava tested the patch and confirms that it solves the problem: From dmidecode: Core Count: 24 Core Enabled: 24 Thread Count: 48 Orig kernel boot log: [ 0.464981] smpboot: Max logical packages: 19 [ 0.469861] smpboot: APIC(0) Converting physical 0 to logical package 0 [ 0.477261] smpboot: APIC(40) Converting physical 1 to logical package 1 [ 0.484760] smpboot: APIC(80) Converting physical 2 to logical package 2 [ 0.492258] smpboot: APIC(c0) Converting physical 3 to logical package 3 1. nr_cpus=8, should stop enumerating in package 0: [ 0.533664] smpboot: APIC(0) Converting physical 0 to logical package 0 [ 0.539596] smpboot: Max logical packages: 19 2. max_cpus=8, should still enumerate all packages: [ 0.526494] smpboot: APIC(0) Converting physical 0 to logical package 0 [ 0.532428] smpboot: APIC(40) Converting physical 1 to logical package 1 [ 0.538456] smpboot: APIC(80) Converting physical 2 to logical package 2 [ 0.544486] smpboot: APIC(c0) Converting physical 3 to logical package 3 [ 0.550524] smpboot: Max logical packages: 19 3. nr_cpus=49 ( 2 socket + 1 core on 3rd socket), should stop enumerating in package 2: [ 0.521378] smpboot: APIC(0) Converting physical 0 to logical package 0 [ 0.527314] smpboot: APIC(40) Converting physical 1 to logical package 1 [ 0.533345] smpboot: APIC(80) Converting physical 2 to logical package 2 [ 0.539368] smpboot: Max logical packages: 19 4. maxcpus=49, should still enumerate all packages: [ 0.525591] smpboot: APIC(0) Converting physical 0 to logical package 0 [ 0.531525] smpboot: APIC(40) Converting physical 1 to logical package 1 [ 0.537547] smpboot: APIC(80) Converting physical 2 to logical package 2 [ 0.543579] smpboot: APIC(c0) Converting physical 3 to logical package 3 [ 0.549624] smpboot: Max logical packages: 19 5. kdump (nr_cpus=1) works as well. Reported-by: Frank Ramsay <framsay@redhat.com> Tested-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Jiri Olsa <jolsa@kernel.org> Reviewed-by: Prarit Bhargava <prarit@redhat.com> Acked-by: Peter Zijlstra <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/20160815101700.GA30090@krava Signed-off-by: Ingo Molnar <mingo@kernel.org>
2016-08-15 10:17:00 +00:00
static unsigned int logical_packages __read_mostly;
static unsigned int logical_die __read_mostly;
x86/topology: Create logical package id For per package oriented services we must be able to rely on the number of CPU packages to be within bounds. Create a tracking facility, which - calculates the number of possible packages depending on nr_cpu_ids after boot - makes sure that the package id is within the number of possible packages. If the apic id is outside we map it to a logical package id if there is enough space available. Provide interfaces for drivers to query the mapping and do translations from physcial to logical ids. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Andi Kleen <andi.kleen@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@amacapital.net> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Borislav Petkov <bp@alien8.de> Cc: Brian Gerst <brgerst@gmail.com> Cc: Denys Vlasenko <dvlasenk@redhat.com> Cc: H. Peter Anvin <hpa@zytor.com> Cc: Harish Chegondi <harish.chegondi@intel.com> Cc: Jacob Pan <jacob.jun.pan@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Kan Liang <kan.liang@intel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Luis R. Rodriguez <mcgrof@suse.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: Vince Weaver <vincent.weaver@maine.edu> Cc: linux-kernel@vger.kernel.org Link: http://lkml.kernel.org/r/20160222221011.541071755@linutronix.de Signed-off-by: Ingo Molnar <mingo@kernel.org>
2016-02-22 22:19:15 +00:00
/* Maximum number of SMT threads on any online core */
int __read_mostly __max_smt_threads = 1;
/* Flag to indicate if a complete sched domain rebuild is required */
bool x86_topology_update;
int arch_update_cpu_topology(void)
{
int retval = x86_topology_update;
x86_topology_update = false;
return retval;
}
static inline void smpboot_setup_warm_reset_vector(unsigned long start_eip)
{
unsigned long flags;
spin_lock_irqsave(&rtc_lock, flags);
CMOS_WRITE(0xa, 0xf);
spin_unlock_irqrestore(&rtc_lock, flags);
*((volatile unsigned short *)phys_to_virt(TRAMPOLINE_PHYS_HIGH)) =
start_eip >> 4;
*((volatile unsigned short *)phys_to_virt(TRAMPOLINE_PHYS_LOW)) =
start_eip & 0xf;
}
static inline void smpboot_restore_warm_reset_vector(void)
{
unsigned long flags;
/*
* Paranoid: Set warm reset code and vector here back
* to default values.
*/
spin_lock_irqsave(&rtc_lock, flags);
CMOS_WRITE(0, 0xf);
spin_unlock_irqrestore(&rtc_lock, flags);
*((volatile u32 *)phys_to_virt(TRAMPOLINE_PHYS_LOW)) = 0;
}
/*
* Report back to the Boot Processor during boot time or to the caller processor
* during CPU online.
*/
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
static void smp_callin(void)
{
int cpuid;
/*
* If waken up by an INIT in an 82489DX configuration
* cpu_callout_mask guarantees we don't get here before
* an INIT_deassert IPI reaches our local APIC, so it is
* now safe to touch our local APIC.
*/
cpuid = smp_processor_id();
/*
* the boot CPU has finished the init stage and is spinning
* on callin_map until we finish. We are free to set up this
* CPU, first the APIC. (this is probably redundant on most
* boards)
*/
apic_ap_setup();
/*
* Save our processor parameters. Note: this information
* is needed for clock calibration.
*/
smp_store_cpu_info(cpuid);
/*
* The topology information must be up to date before
* calibrate_delay() and notify_cpu_starting().
*/
set_cpu_sibling_map(raw_smp_processor_id());
init_freq_invariance(true, false);
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
/*
* Get our bogomips.
* Update loops_per_jiffy in cpu_data. Previous call to
* smp_store_cpu_info() stored a value that is close but not as
* accurate as the value just calculated.
*/
calibrate_delay();
cpu_data(cpuid).loops_per_jiffy = loops_per_jiffy;
pr_debug("Stack at about %p\n", &cpuid);
wmb();
notify_cpu_starting(cpuid);
/*
* Allow the master to continue.
*/
cpumask_set_cpu(cpuid, cpu_callin_mask);
}
static int cpu0_logical_apicid;
static int enable_start_cpu0;
/*
* Activate a secondary processor.
*/
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
static void notrace start_secondary(void *unused)
{
/*
x86/mm/64: Initialize CR4.PCIDE early cpu_init() is weird: it's called rather late (after early identification and after most MMU state is initialized) on the boot CPU but is called extremely early (before identification) on secondary CPUs. It's called just late enough on the boot CPU that its CR4 value isn't propagated to mmu_cr4_features. Even if we put CR4.PCIDE into mmu_cr4_features, we'd hit two problems. First, we'd crash in the trampoline code. That's fixable, and I tried that. It turns out that mmu_cr4_features is totally ignored by secondary_start_64(), though, so even with the trampoline code fixed, it wouldn't help. This means that we don't currently have CR4.PCIDE reliably initialized before we start playing with cpu_tlbstate. This is very fragile and tends to cause boot failures if I make even small changes to the TLB handling code. Make it more robust: initialize CR4.PCIDE earlier on the boot CPU and propagate it to secondary CPUs in start_secondary(). ( Yes, this is ugly. I think we should have improved mmu_cr4_features to actually control CR4 during secondary bootup, but that would be fairly intrusive at this stage. ) Signed-off-by: Andy Lutomirski <luto@kernel.org> Reported-by: Sai Praneeth Prakhya <sai.praneeth.prakhya@intel.com> Tested-by: Sai Praneeth Prakhya <sai.praneeth.prakhya@intel.com> Cc: Borislav Petkov <bpetkov@suse.de> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Fixes: 660da7c9228f ("x86/mm: Enable CR4.PCIDE on supported systems") Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-09-11 00:48:27 +00:00
* Don't put *anything* except direct CPU state initialization
* before cpu_init(), SMP booting is too fragile that we want to
* limit the things done here to the most necessary things.
*/
2019-07-10 19:42:46 +00:00
cr4_init();
x86-32: Separate 1:1 pagetables from swapper_pg_dir This patch fixes machine crashes which occur when heavily exercising the CPU hotplug codepaths on a 32-bit kernel. These crashes are caused by AMD Erratum 383 and result in a fatal machine check exception. Here's the scenario: 1. On 32-bit, the swapper_pg_dir page table is used as the initial page table for booting a secondary CPU. 2. To make this work, swapper_pg_dir needs a direct mapping of physical memory in it (the low mappings). By adding those low, large page (2M) mappings (PAE kernel), we create the necessary conditions for Erratum 383 to occur. 3. Other CPUs which do not participate in the off- and onlining game may use swapper_pg_dir while the low mappings are present (when leave_mm is called). For all steps below, the CPU referred to is a CPU that is using swapper_pg_dir, and not the CPU which is being onlined. 4. The presence of the low mappings in swapper_pg_dir can result in TLB entries for addresses below __PAGE_OFFSET to be established speculatively. These TLB entries are marked global and large. 5. When the CPU with such TLB entry switches to another page table, this TLB entry remains because it is global. 6. The process then generates an access to an address covered by the above TLB entry but there is a permission mismatch - the TLB entry covers a large global page not accessible to userspace. 7. Due to this permission mismatch a new 4kb, user TLB entry gets established. Further, Erratum 383 provides for a small window of time where both TLB entries are present. This results in an uncorrectable machine check exception signalling a TLB multimatch which panics the machine. There are two ways to fix this issue: 1. Always do a global TLB flush when a new cr3 is loaded and the old page table was swapper_pg_dir. I consider this a hack hard to understand and with performance implications 2. Do not use swapper_pg_dir to boot secondary CPUs like 64-bit does. This patch implements solution 2. It introduces a trampoline_pg_dir which has the same layout as swapper_pg_dir with low_mappings. This page table is used as the initial page table of the booting CPU. Later in the bringup process, it switches to swapper_pg_dir and does a global TLB flush. This fixes the crashes in our test cases. -v2: switch to swapper_pg_dir right after entering start_secondary() so that we are able to access percpu data which might not be mapped in the trampoline page table. Signed-off-by: Joerg Roedel <joerg.roedel@amd.com> LKML-Reference: <20100816123833.GB28147@aftab> Signed-off-by: Borislav Petkov <borislav.petkov@amd.com> Signed-off-by: H. Peter Anvin <hpa@zytor.com>
2010-08-16 12:38:33 +00:00
#ifdef CONFIG_X86_32
/* switch away from the initial page table */
x86-32: Separate 1:1 pagetables from swapper_pg_dir This patch fixes machine crashes which occur when heavily exercising the CPU hotplug codepaths on a 32-bit kernel. These crashes are caused by AMD Erratum 383 and result in a fatal machine check exception. Here's the scenario: 1. On 32-bit, the swapper_pg_dir page table is used as the initial page table for booting a secondary CPU. 2. To make this work, swapper_pg_dir needs a direct mapping of physical memory in it (the low mappings). By adding those low, large page (2M) mappings (PAE kernel), we create the necessary conditions for Erratum 383 to occur. 3. Other CPUs which do not participate in the off- and onlining game may use swapper_pg_dir while the low mappings are present (when leave_mm is called). For all steps below, the CPU referred to is a CPU that is using swapper_pg_dir, and not the CPU which is being onlined. 4. The presence of the low mappings in swapper_pg_dir can result in TLB entries for addresses below __PAGE_OFFSET to be established speculatively. These TLB entries are marked global and large. 5. When the CPU with such TLB entry switches to another page table, this TLB entry remains because it is global. 6. The process then generates an access to an address covered by the above TLB entry but there is a permission mismatch - the TLB entry covers a large global page not accessible to userspace. 7. Due to this permission mismatch a new 4kb, user TLB entry gets established. Further, Erratum 383 provides for a small window of time where both TLB entries are present. This results in an uncorrectable machine check exception signalling a TLB multimatch which panics the machine. There are two ways to fix this issue: 1. Always do a global TLB flush when a new cr3 is loaded and the old page table was swapper_pg_dir. I consider this a hack hard to understand and with performance implications 2. Do not use swapper_pg_dir to boot secondary CPUs like 64-bit does. This patch implements solution 2. It introduces a trampoline_pg_dir which has the same layout as swapper_pg_dir with low_mappings. This page table is used as the initial page table of the booting CPU. Later in the bringup process, it switches to swapper_pg_dir and does a global TLB flush. This fixes the crashes in our test cases. -v2: switch to swapper_pg_dir right after entering start_secondary() so that we are able to access percpu data which might not be mapped in the trampoline page table. Signed-off-by: Joerg Roedel <joerg.roedel@amd.com> LKML-Reference: <20100816123833.GB28147@aftab> Signed-off-by: Borislav Petkov <borislav.petkov@amd.com> Signed-off-by: H. Peter Anvin <hpa@zytor.com>
2010-08-16 12:38:33 +00:00
load_cr3(swapper_pg_dir);
__flush_tlb_all();
#endif
cpu_init_secondary();
x86/smpboot: Move rcu_cpu_starting() earlier The call to rcu_cpu_starting() in mtrr_ap_init() is not early enough in the CPU-hotplug onlining process, which results in lockdep splats as follows: ============================= WARNING: suspicious RCU usage 5.9.0+ #268 Not tainted ----------------------------- kernel/kprobes.c:300 RCU-list traversed in non-reader section!! other info that might help us debug this: RCU used illegally from offline CPU! rcu_scheduler_active = 1, debug_locks = 1 no locks held by swapper/1/0. stack backtrace: CPU: 1 PID: 0 Comm: swapper/1 Not tainted 5.9.0+ #268 Hardware name: QEMU Standard PC (Q35 + ICH9, 2009), BIOS 1.10.2-1ubuntu1 04/01/2014 Call Trace: dump_stack+0x77/0x97 __is_insn_slot_addr+0x15d/0x170 kernel_text_address+0xba/0xe0 ? get_stack_info+0x22/0xa0 __kernel_text_address+0x9/0x30 show_trace_log_lvl+0x17d/0x380 ? dump_stack+0x77/0x97 dump_stack+0x77/0x97 __lock_acquire+0xdf7/0x1bf0 lock_acquire+0x258/0x3d0 ? vprintk_emit+0x6d/0x2c0 _raw_spin_lock+0x27/0x40 ? vprintk_emit+0x6d/0x2c0 vprintk_emit+0x6d/0x2c0 printk+0x4d/0x69 start_secondary+0x1c/0x100 secondary_startup_64_no_verify+0xb8/0xbb This is avoided by moving the call to rcu_cpu_starting up near the beginning of the start_secondary() function. Note that the raw_smp_processor_id() is required in order to avoid calling into lockdep before RCU has declared the CPU to be watched for readers. Link: https://lore.kernel.org/lkml/160223032121.7002.1269740091547117869.tip-bot2@tip-bot2/ Reported-by: Qian Cai <cai@redhat.com> Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Paul E. McKenney <paulmck@kernel.org>
2020-10-21 04:13:55 +00:00
rcu_cpu_starting(raw_smp_processor_id());
x86_cpuinit.early_percpu_clock_init();
smp_callin();
enable_start_cpu0 = 0;
/* otherwise gcc will move up smp_processor_id before the cpu_init */
barrier();
/*
* Check TSC synchronization with the boot CPU:
*/
check_tsc_sync_target();
speculative_store_bypass_ht_init();
/*
* Lock vector_lock, set CPU online and bring the vector
* allocator online. Online must be set with vector_lock held
* to prevent a concurrent irq setup/teardown from seeing a
* half valid vector space.
*/
lock_vector_lock();
set_cpu_online(smp_processor_id(), true);
lapic_online();
unlock_vector_lock();
cpu_set_state_online(smp_processor_id());
x86_platform.nmi_init();
/* enable local interrupts */
local_irq_enable();
x86_cpuinit.setup_percpu_clockev();
wmb();
cpu_startup_entry(CPUHP_AP_ONLINE_IDLE);
}
/**
* topology_is_primary_thread - Check whether CPU is the primary SMT thread
* @cpu: CPU to check
*/
bool topology_is_primary_thread(unsigned int cpu)
{
return apic_id_is_primary_thread(per_cpu(x86_cpu_to_apicid, cpu));
}
/**
* topology_smt_supported - Check whether SMT is supported by the CPUs
*/
bool topology_smt_supported(void)
{
return smp_num_siblings > 1;
}
x86/topology: Avoid wasting 128k for package id array Analyzing large early boot allocations unveiled the logical package id storage as a prominent memory waste. Since commit 1f12e32f4cd5 ("x86/topology: Create logical package id") every 64-bit system allocates a 128k array to convert logical package ids. This happens because the array is sized for MAX_LOCAL_APIC which is always 32k on 64bit systems, and it needs 4 bytes for each entry. This is fairly wasteful, especially for the common case of having only one socket, which uses exactly 4 byte out of 128K. There is no user of the package id map which is performance critical, so the lookup is not required to be O(1). Store the logical processor id in cpu_data and use a loop based lookup. To keep the mapping stable accross cpu hotplug operations, add a flag to cpu_data which is set when the CPU is brought up the first time. When the flag is set, then cpu_data is not reinitialized by copying boot_cpu_data on subsequent bringups. [ tglx: Rename the flag to 'initialized', use proper pointers instead of repeated cpu_data(x) evaluation and massage changelog. ] Signed-off-by: Andi Kleen <ak@linux.intel.com> Signed-off-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Cc: Tom Lendacky <thomas.lendacky@amd.com> Cc: Christian Borntraeger <borntraeger@de.ibm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Kan Liang <kan.liang@intel.com> Cc: He Chen <he.chen@linux.intel.com> Cc: Stephane Eranian <eranian@google.com> Cc: Dave Hansen <dave.hansen@intel.com> Cc: Piotr Luc <piotr.luc@intel.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Arvind Yadav <arvind.yadav.cs@gmail.com> Cc: Vitaly Kuznetsov <vkuznets@redhat.com> Cc: Borislav Petkov <bp@suse.de> Cc: Tim Chen <tim.c.chen@linux.intel.com> Cc: Mathias Krause <minipli@googlemail.com> Cc: "Kirill A. Shutemov" <kirill.shutemov@linux.intel.com> Link: https://lkml.kernel.org/r/20171114124257.22013-3-prarit@redhat.com
2017-11-14 12:42:56 +00:00
/**
* topology_phys_to_logical_pkg - Map a physical package id to a logical
*
* Returns logical package id or -1 if not found
*/
int topology_phys_to_logical_pkg(unsigned int phys_pkg)
{
int cpu;
for_each_possible_cpu(cpu) {
struct cpuinfo_x86 *c = &cpu_data(cpu);
if (c->initialized && c->phys_proc_id == phys_pkg)
return c->logical_proc_id;
}
return -1;
}
EXPORT_SYMBOL(topology_phys_to_logical_pkg);
/**
* topology_phys_to_logical_die - Map a physical die id to logical
*
* Returns logical die id or -1 if not found
*/
int topology_phys_to_logical_die(unsigned int die_id, unsigned int cur_cpu)
{
int cpu;
int proc_id = cpu_data(cur_cpu).phys_proc_id;
for_each_possible_cpu(cpu) {
struct cpuinfo_x86 *c = &cpu_data(cpu);
if (c->initialized && c->cpu_die_id == die_id &&
c->phys_proc_id == proc_id)
return c->logical_die_id;
}
return -1;
}
EXPORT_SYMBOL(topology_phys_to_logical_die);
x86/topology: Avoid wasting 128k for package id array Analyzing large early boot allocations unveiled the logical package id storage as a prominent memory waste. Since commit 1f12e32f4cd5 ("x86/topology: Create logical package id") every 64-bit system allocates a 128k array to convert logical package ids. This happens because the array is sized for MAX_LOCAL_APIC which is always 32k on 64bit systems, and it needs 4 bytes for each entry. This is fairly wasteful, especially for the common case of having only one socket, which uses exactly 4 byte out of 128K. There is no user of the package id map which is performance critical, so the lookup is not required to be O(1). Store the logical processor id in cpu_data and use a loop based lookup. To keep the mapping stable accross cpu hotplug operations, add a flag to cpu_data which is set when the CPU is brought up the first time. When the flag is set, then cpu_data is not reinitialized by copying boot_cpu_data on subsequent bringups. [ tglx: Rename the flag to 'initialized', use proper pointers instead of repeated cpu_data(x) evaluation and massage changelog. ] Signed-off-by: Andi Kleen <ak@linux.intel.com> Signed-off-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Cc: Tom Lendacky <thomas.lendacky@amd.com> Cc: Christian Borntraeger <borntraeger@de.ibm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Kan Liang <kan.liang@intel.com> Cc: He Chen <he.chen@linux.intel.com> Cc: Stephane Eranian <eranian@google.com> Cc: Dave Hansen <dave.hansen@intel.com> Cc: Piotr Luc <piotr.luc@intel.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Arvind Yadav <arvind.yadav.cs@gmail.com> Cc: Vitaly Kuznetsov <vkuznets@redhat.com> Cc: Borislav Petkov <bp@suse.de> Cc: Tim Chen <tim.c.chen@linux.intel.com> Cc: Mathias Krause <minipli@googlemail.com> Cc: "Kirill A. Shutemov" <kirill.shutemov@linux.intel.com> Link: https://lkml.kernel.org/r/20171114124257.22013-3-prarit@redhat.com
2017-11-14 12:42:56 +00:00
x86/smpboot: Make logical package management more robust The logical package management has several issues: - The APIC ids provided by ACPI are not required to be the same as the initial APIC id which can be retrieved by CPUID. The APIC ids provided by ACPI are those which are written by the BIOS into the APIC. The initial id is set by hardware and can not be changed. The hardware provided ids contain the real hardware package information. Especially AMD sets the effective APIC id different from the hardware id as they need to reserve space for the IOAPIC ids starting at id 0. As a consequence those machines trigger the currently active firmware bug printouts in dmesg, These are obviously wrong. - Virtual machines have their own interesting of enumerating APICs and packages which are not reliably covered by the current implementation. The sizing of the mapping array has been tweaked to be generously large to handle systems which provide a wrong core count when HT is disabled so the whole magic which checks for space in the physical hotplug case is not needed anymore. Simplify the whole machinery and do the mapping when the CPU starts and the CPUID derived physical package information is available. This solves the observed problems on AMD machines and works for the virtualization issues as well. Remove the extra call from XEN cpu bringup code as it is not longer required. Fixes: d49597fd3bc7 ("x86/cpu: Deal with broken firmware (VMWare/XEN)") Reported-and-tested-by: Borislav Petkov <bp@suse.de> Tested-by: Boris Ostrovsky <boris.ostrovsky@oracle.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Cc: Juergen Gross <jgross@suse.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: M. Vefa Bicakci <m.v.b@runbox.com> Cc: xen-devel <xen-devel@lists.xen.org> Cc: Charles (Chas) Williams <ciwillia@brocade.com> Cc: Borislav Petkov <bp@alien8.de> Cc: Alok Kataria <akataria@vmware.com> Cc: stable@vger.kernel.org Link: http://lkml.kernel.org/r/alpine.DEB.2.20.1612121102260.3429@nanos Signed-off-by: Thomas Gleixner <tglx@linutronix.de>
2016-12-12 10:04:53 +00:00
/**
* topology_update_package_map - Update the physical to logical package map
* @pkg: The physical package id as retrieved via CPUID
* @cpu: The cpu for which this is updated
*/
int topology_update_package_map(unsigned int pkg, unsigned int cpu)
x86/topology: Create logical package id For per package oriented services we must be able to rely on the number of CPU packages to be within bounds. Create a tracking facility, which - calculates the number of possible packages depending on nr_cpu_ids after boot - makes sure that the package id is within the number of possible packages. If the apic id is outside we map it to a logical package id if there is enough space available. Provide interfaces for drivers to query the mapping and do translations from physcial to logical ids. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Andi Kleen <andi.kleen@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@amacapital.net> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Borislav Petkov <bp@alien8.de> Cc: Brian Gerst <brgerst@gmail.com> Cc: Denys Vlasenko <dvlasenk@redhat.com> Cc: H. Peter Anvin <hpa@zytor.com> Cc: Harish Chegondi <harish.chegondi@intel.com> Cc: Jacob Pan <jacob.jun.pan@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Kan Liang <kan.liang@intel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Luis R. Rodriguez <mcgrof@suse.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: Vince Weaver <vincent.weaver@maine.edu> Cc: linux-kernel@vger.kernel.org Link: http://lkml.kernel.org/r/20160222221011.541071755@linutronix.de Signed-off-by: Ingo Molnar <mingo@kernel.org>
2016-02-22 22:19:15 +00:00
{
x86/topology: Avoid wasting 128k for package id array Analyzing large early boot allocations unveiled the logical package id storage as a prominent memory waste. Since commit 1f12e32f4cd5 ("x86/topology: Create logical package id") every 64-bit system allocates a 128k array to convert logical package ids. This happens because the array is sized for MAX_LOCAL_APIC which is always 32k on 64bit systems, and it needs 4 bytes for each entry. This is fairly wasteful, especially for the common case of having only one socket, which uses exactly 4 byte out of 128K. There is no user of the package id map which is performance critical, so the lookup is not required to be O(1). Store the logical processor id in cpu_data and use a loop based lookup. To keep the mapping stable accross cpu hotplug operations, add a flag to cpu_data which is set when the CPU is brought up the first time. When the flag is set, then cpu_data is not reinitialized by copying boot_cpu_data on subsequent bringups. [ tglx: Rename the flag to 'initialized', use proper pointers instead of repeated cpu_data(x) evaluation and massage changelog. ] Signed-off-by: Andi Kleen <ak@linux.intel.com> Signed-off-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Cc: Tom Lendacky <thomas.lendacky@amd.com> Cc: Christian Borntraeger <borntraeger@de.ibm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Kan Liang <kan.liang@intel.com> Cc: He Chen <he.chen@linux.intel.com> Cc: Stephane Eranian <eranian@google.com> Cc: Dave Hansen <dave.hansen@intel.com> Cc: Piotr Luc <piotr.luc@intel.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Arvind Yadav <arvind.yadav.cs@gmail.com> Cc: Vitaly Kuznetsov <vkuznets@redhat.com> Cc: Borislav Petkov <bp@suse.de> Cc: Tim Chen <tim.c.chen@linux.intel.com> Cc: Mathias Krause <minipli@googlemail.com> Cc: "Kirill A. Shutemov" <kirill.shutemov@linux.intel.com> Link: https://lkml.kernel.org/r/20171114124257.22013-3-prarit@redhat.com
2017-11-14 12:42:56 +00:00
int new;
x86/topology: Create logical package id For per package oriented services we must be able to rely on the number of CPU packages to be within bounds. Create a tracking facility, which - calculates the number of possible packages depending on nr_cpu_ids after boot - makes sure that the package id is within the number of possible packages. If the apic id is outside we map it to a logical package id if there is enough space available. Provide interfaces for drivers to query the mapping and do translations from physcial to logical ids. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Andi Kleen <andi.kleen@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@amacapital.net> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Borislav Petkov <bp@alien8.de> Cc: Brian Gerst <brgerst@gmail.com> Cc: Denys Vlasenko <dvlasenk@redhat.com> Cc: H. Peter Anvin <hpa@zytor.com> Cc: Harish Chegondi <harish.chegondi@intel.com> Cc: Jacob Pan <jacob.jun.pan@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Kan Liang <kan.liang@intel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Luis R. Rodriguez <mcgrof@suse.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: Vince Weaver <vincent.weaver@maine.edu> Cc: linux-kernel@vger.kernel.org Link: http://lkml.kernel.org/r/20160222221011.541071755@linutronix.de Signed-off-by: Ingo Molnar <mingo@kernel.org>
2016-02-22 22:19:15 +00:00
x86/topology: Avoid wasting 128k for package id array Analyzing large early boot allocations unveiled the logical package id storage as a prominent memory waste. Since commit 1f12e32f4cd5 ("x86/topology: Create logical package id") every 64-bit system allocates a 128k array to convert logical package ids. This happens because the array is sized for MAX_LOCAL_APIC which is always 32k on 64bit systems, and it needs 4 bytes for each entry. This is fairly wasteful, especially for the common case of having only one socket, which uses exactly 4 byte out of 128K. There is no user of the package id map which is performance critical, so the lookup is not required to be O(1). Store the logical processor id in cpu_data and use a loop based lookup. To keep the mapping stable accross cpu hotplug operations, add a flag to cpu_data which is set when the CPU is brought up the first time. When the flag is set, then cpu_data is not reinitialized by copying boot_cpu_data on subsequent bringups. [ tglx: Rename the flag to 'initialized', use proper pointers instead of repeated cpu_data(x) evaluation and massage changelog. ] Signed-off-by: Andi Kleen <ak@linux.intel.com> Signed-off-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Cc: Tom Lendacky <thomas.lendacky@amd.com> Cc: Christian Borntraeger <borntraeger@de.ibm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Kan Liang <kan.liang@intel.com> Cc: He Chen <he.chen@linux.intel.com> Cc: Stephane Eranian <eranian@google.com> Cc: Dave Hansen <dave.hansen@intel.com> Cc: Piotr Luc <piotr.luc@intel.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Arvind Yadav <arvind.yadav.cs@gmail.com> Cc: Vitaly Kuznetsov <vkuznets@redhat.com> Cc: Borislav Petkov <bp@suse.de> Cc: Tim Chen <tim.c.chen@linux.intel.com> Cc: Mathias Krause <minipli@googlemail.com> Cc: "Kirill A. Shutemov" <kirill.shutemov@linux.intel.com> Link: https://lkml.kernel.org/r/20171114124257.22013-3-prarit@redhat.com
2017-11-14 12:42:56 +00:00
/* Already available somewhere? */
new = topology_phys_to_logical_pkg(pkg);
if (new >= 0)
x86/topology: Create logical package id For per package oriented services we must be able to rely on the number of CPU packages to be within bounds. Create a tracking facility, which - calculates the number of possible packages depending on nr_cpu_ids after boot - makes sure that the package id is within the number of possible packages. If the apic id is outside we map it to a logical package id if there is enough space available. Provide interfaces for drivers to query the mapping and do translations from physcial to logical ids. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Andi Kleen <andi.kleen@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@amacapital.net> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Borislav Petkov <bp@alien8.de> Cc: Brian Gerst <brgerst@gmail.com> Cc: Denys Vlasenko <dvlasenk@redhat.com> Cc: H. Peter Anvin <hpa@zytor.com> Cc: Harish Chegondi <harish.chegondi@intel.com> Cc: Jacob Pan <jacob.jun.pan@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Kan Liang <kan.liang@intel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Luis R. Rodriguez <mcgrof@suse.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: Vince Weaver <vincent.weaver@maine.edu> Cc: linux-kernel@vger.kernel.org Link: http://lkml.kernel.org/r/20160222221011.541071755@linutronix.de Signed-off-by: Ingo Molnar <mingo@kernel.org>
2016-02-22 22:19:15 +00:00
goto found;
x86/smp: Fix __max_logical_packages value setup Frank reported kernel panic when he disabled several cores in BIOS via following option: Core Disable Bitmap(Hex) [0] with number 0xFFE, which leaves 16 CPUs in system (out of 48). The kernel panic below goes along with following messages: smpboot: Max logical packages: 2^M smpboot: APIC(0) Converting physical 0 to logical package 0^M smpboot: APIC(20) Converting physical 1 to logical package 1^M smpboot: APIC(40) Package 2 exceeds logical package map^M smpboot: CPU 8 APICId 40 disabled^M smpboot: APIC(60) Package 3 exceeds logical package map^M smpboot: CPU 12 APICId 60 disabled^M ... general protection fault: 0000 [#1] SMP^M Modules linked in:^M CPU: 15 PID: 1 Comm: swapper/0 Not tainted 4.7.0-rc5+ #1^M Hardware name: SGI UV300/UV300, BIOS SGI UV 300 series BIOS 05/25/2016^M task: ffff8801673e0000 ti: ffff8801673ac000 task.ti: ffff8801673ac000^M RIP: 0010:[<ffffffff81014d54>] [<ffffffff81014d54>] uncore_change_context+0xd4/0x180^M ... [<ffffffff810158ac>] uncore_event_init_cpu+0x6c/0x70^M [<ffffffff81d8c91c>] intel_uncore_init+0x1c2/0x2dd^M [<ffffffff81d8c75a>] ? uncore_cpu_setup+0x17/0x17^M [<ffffffff81002190>] do_one_initcall+0x50/0x190^M [<ffffffff810ab193>] ? parse_args+0x293/0x480^M [<ffffffff81d87365>] kernel_init_freeable+0x1a5/0x249^M [<ffffffff81d86a35>] ? set_debug_rodata+0x12/0x12^M [<ffffffff816dc19e>] kernel_init+0xe/0x110^M [<ffffffff816e93bf>] ret_from_fork+0x1f/0x40^M [<ffffffff816dc190>] ? rest_init+0x80/0x80^M The reason for the panic is wrong value of __max_logical_packages, which lets logical_package_map uninitialized and the uncore code relying on this map being properly initialized (maybe we should add some safety checks there as well). The __max_logical_packages is computed as: DIV_ROUND_UP(total_cpus, ncpus); - ncpus being number of cores With above BIOS setup we get total_cpus == 16 which set __max_logical_packages to 2 (ncpus is 12). Once topology_update_package_map processes CPU with logical pkg over 2 we display above messages and fail to initialize the physical_to_logical_pkg map, which makes the uncore code crash. The fix is to remove logical_package_map bitmap completely and keep and update the logical_packages number instead. After we enumerate all the present CPUs, we check if the enumerated logical packages count is within its computed maximum from BIOS data. If it's not the case, we set this maximum to the new enumerated value and freeze any new addition of logical packages. The freeze is because lot of init code like uncore/rapl/cqm depends on having maximum logical package value set to allocate their data, so we can't change it later on. Prarit Bhargava tested the patch and confirms that it solves the problem: From dmidecode: Core Count: 24 Core Enabled: 24 Thread Count: 48 Orig kernel boot log: [ 0.464981] smpboot: Max logical packages: 19 [ 0.469861] smpboot: APIC(0) Converting physical 0 to logical package 0 [ 0.477261] smpboot: APIC(40) Converting physical 1 to logical package 1 [ 0.484760] smpboot: APIC(80) Converting physical 2 to logical package 2 [ 0.492258] smpboot: APIC(c0) Converting physical 3 to logical package 3 1. nr_cpus=8, should stop enumerating in package 0: [ 0.533664] smpboot: APIC(0) Converting physical 0 to logical package 0 [ 0.539596] smpboot: Max logical packages: 19 2. max_cpus=8, should still enumerate all packages: [ 0.526494] smpboot: APIC(0) Converting physical 0 to logical package 0 [ 0.532428] smpboot: APIC(40) Converting physical 1 to logical package 1 [ 0.538456] smpboot: APIC(80) Converting physical 2 to logical package 2 [ 0.544486] smpboot: APIC(c0) Converting physical 3 to logical package 3 [ 0.550524] smpboot: Max logical packages: 19 3. nr_cpus=49 ( 2 socket + 1 core on 3rd socket), should stop enumerating in package 2: [ 0.521378] smpboot: APIC(0) Converting physical 0 to logical package 0 [ 0.527314] smpboot: APIC(40) Converting physical 1 to logical package 1 [ 0.533345] smpboot: APIC(80) Converting physical 2 to logical package 2 [ 0.539368] smpboot: Max logical packages: 19 4. maxcpus=49, should still enumerate all packages: [ 0.525591] smpboot: APIC(0) Converting physical 0 to logical package 0 [ 0.531525] smpboot: APIC(40) Converting physical 1 to logical package 1 [ 0.537547] smpboot: APIC(80) Converting physical 2 to logical package 2 [ 0.543579] smpboot: APIC(c0) Converting physical 3 to logical package 3 [ 0.549624] smpboot: Max logical packages: 19 5. kdump (nr_cpus=1) works as well. Reported-by: Frank Ramsay <framsay@redhat.com> Tested-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Jiri Olsa <jolsa@kernel.org> Reviewed-by: Prarit Bhargava <prarit@redhat.com> Acked-by: Peter Zijlstra <peterz@infradead.org> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/20160815101700.GA30090@krava Signed-off-by: Ingo Molnar <mingo@kernel.org>
2016-08-15 10:17:00 +00:00
new = logical_packages++;
x86/smpboot: Make logical package management more robust The logical package management has several issues: - The APIC ids provided by ACPI are not required to be the same as the initial APIC id which can be retrieved by CPUID. The APIC ids provided by ACPI are those which are written by the BIOS into the APIC. The initial id is set by hardware and can not be changed. The hardware provided ids contain the real hardware package information. Especially AMD sets the effective APIC id different from the hardware id as they need to reserve space for the IOAPIC ids starting at id 0. As a consequence those machines trigger the currently active firmware bug printouts in dmesg, These are obviously wrong. - Virtual machines have their own interesting of enumerating APICs and packages which are not reliably covered by the current implementation. The sizing of the mapping array has been tweaked to be generously large to handle systems which provide a wrong core count when HT is disabled so the whole magic which checks for space in the physical hotplug case is not needed anymore. Simplify the whole machinery and do the mapping when the CPU starts and the CPUID derived physical package information is available. This solves the observed problems on AMD machines and works for the virtualization issues as well. Remove the extra call from XEN cpu bringup code as it is not longer required. Fixes: d49597fd3bc7 ("x86/cpu: Deal with broken firmware (VMWare/XEN)") Reported-and-tested-by: Borislav Petkov <bp@suse.de> Tested-by: Boris Ostrovsky <boris.ostrovsky@oracle.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Cc: Juergen Gross <jgross@suse.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: M. Vefa Bicakci <m.v.b@runbox.com> Cc: xen-devel <xen-devel@lists.xen.org> Cc: Charles (Chas) Williams <ciwillia@brocade.com> Cc: Borislav Petkov <bp@alien8.de> Cc: Alok Kataria <akataria@vmware.com> Cc: stable@vger.kernel.org Link: http://lkml.kernel.org/r/alpine.DEB.2.20.1612121102260.3429@nanos Signed-off-by: Thomas Gleixner <tglx@linutronix.de>
2016-12-12 10:04:53 +00:00
if (new != pkg) {
pr_info("CPU %u Converting physical %u to logical package %u\n",
cpu, pkg, new);
}
x86/topology: Create logical package id For per package oriented services we must be able to rely on the number of CPU packages to be within bounds. Create a tracking facility, which - calculates the number of possible packages depending on nr_cpu_ids after boot - makes sure that the package id is within the number of possible packages. If the apic id is outside we map it to a logical package id if there is enough space available. Provide interfaces for drivers to query the mapping and do translations from physcial to logical ids. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Andi Kleen <andi.kleen@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@amacapital.net> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Borislav Petkov <bp@alien8.de> Cc: Brian Gerst <brgerst@gmail.com> Cc: Denys Vlasenko <dvlasenk@redhat.com> Cc: H. Peter Anvin <hpa@zytor.com> Cc: Harish Chegondi <harish.chegondi@intel.com> Cc: Jacob Pan <jacob.jun.pan@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Kan Liang <kan.liang@intel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Luis R. Rodriguez <mcgrof@suse.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: Vince Weaver <vincent.weaver@maine.edu> Cc: linux-kernel@vger.kernel.org Link: http://lkml.kernel.org/r/20160222221011.541071755@linutronix.de Signed-off-by: Ingo Molnar <mingo@kernel.org>
2016-02-22 22:19:15 +00:00
found:
x86/topology: Avoid wasting 128k for package id array Analyzing large early boot allocations unveiled the logical package id storage as a prominent memory waste. Since commit 1f12e32f4cd5 ("x86/topology: Create logical package id") every 64-bit system allocates a 128k array to convert logical package ids. This happens because the array is sized for MAX_LOCAL_APIC which is always 32k on 64bit systems, and it needs 4 bytes for each entry. This is fairly wasteful, especially for the common case of having only one socket, which uses exactly 4 byte out of 128K. There is no user of the package id map which is performance critical, so the lookup is not required to be O(1). Store the logical processor id in cpu_data and use a loop based lookup. To keep the mapping stable accross cpu hotplug operations, add a flag to cpu_data which is set when the CPU is brought up the first time. When the flag is set, then cpu_data is not reinitialized by copying boot_cpu_data on subsequent bringups. [ tglx: Rename the flag to 'initialized', use proper pointers instead of repeated cpu_data(x) evaluation and massage changelog. ] Signed-off-by: Andi Kleen <ak@linux.intel.com> Signed-off-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Cc: Tom Lendacky <thomas.lendacky@amd.com> Cc: Christian Borntraeger <borntraeger@de.ibm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Kan Liang <kan.liang@intel.com> Cc: He Chen <he.chen@linux.intel.com> Cc: Stephane Eranian <eranian@google.com> Cc: Dave Hansen <dave.hansen@intel.com> Cc: Piotr Luc <piotr.luc@intel.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Arvind Yadav <arvind.yadav.cs@gmail.com> Cc: Vitaly Kuznetsov <vkuznets@redhat.com> Cc: Borislav Petkov <bp@suse.de> Cc: Tim Chen <tim.c.chen@linux.intel.com> Cc: Mathias Krause <minipli@googlemail.com> Cc: "Kirill A. Shutemov" <kirill.shutemov@linux.intel.com> Link: https://lkml.kernel.org/r/20171114124257.22013-3-prarit@redhat.com
2017-11-14 12:42:56 +00:00
cpu_data(cpu).logical_proc_id = new;
x86/topology: Create logical package id For per package oriented services we must be able to rely on the number of CPU packages to be within bounds. Create a tracking facility, which - calculates the number of possible packages depending on nr_cpu_ids after boot - makes sure that the package id is within the number of possible packages. If the apic id is outside we map it to a logical package id if there is enough space available. Provide interfaces for drivers to query the mapping and do translations from physcial to logical ids. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Andi Kleen <andi.kleen@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@amacapital.net> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Borislav Petkov <bp@alien8.de> Cc: Brian Gerst <brgerst@gmail.com> Cc: Denys Vlasenko <dvlasenk@redhat.com> Cc: H. Peter Anvin <hpa@zytor.com> Cc: Harish Chegondi <harish.chegondi@intel.com> Cc: Jacob Pan <jacob.jun.pan@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Kan Liang <kan.liang@intel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Luis R. Rodriguez <mcgrof@suse.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: Vince Weaver <vincent.weaver@maine.edu> Cc: linux-kernel@vger.kernel.org Link: http://lkml.kernel.org/r/20160222221011.541071755@linutronix.de Signed-off-by: Ingo Molnar <mingo@kernel.org>
2016-02-22 22:19:15 +00:00
return 0;
}
/**
* topology_update_die_map - Update the physical to logical die map
* @die: The die id as retrieved via CPUID
* @cpu: The cpu for which this is updated
*/
int topology_update_die_map(unsigned int die, unsigned int cpu)
{
int new;
/* Already available somewhere? */
new = topology_phys_to_logical_die(die, cpu);
if (new >= 0)
goto found;
new = logical_die++;
if (new != die) {
pr_info("CPU %u Converting physical %u to logical die %u\n",
cpu, die, new);
}
found:
cpu_data(cpu).logical_die_id = new;
return 0;
}
x86/topology: Create logical package id For per package oriented services we must be able to rely on the number of CPU packages to be within bounds. Create a tracking facility, which - calculates the number of possible packages depending on nr_cpu_ids after boot - makes sure that the package id is within the number of possible packages. If the apic id is outside we map it to a logical package id if there is enough space available. Provide interfaces for drivers to query the mapping and do translations from physcial to logical ids. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Andi Kleen <andi.kleen@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@amacapital.net> Cc: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Borislav Petkov <bp@alien8.de> Cc: Brian Gerst <brgerst@gmail.com> Cc: Denys Vlasenko <dvlasenk@redhat.com> Cc: H. Peter Anvin <hpa@zytor.com> Cc: Harish Chegondi <harish.chegondi@intel.com> Cc: Jacob Pan <jacob.jun.pan@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Kan Liang <kan.liang@intel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Luis R. Rodriguez <mcgrof@suse.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: Vince Weaver <vincent.weaver@maine.edu> Cc: linux-kernel@vger.kernel.org Link: http://lkml.kernel.org/r/20160222221011.541071755@linutronix.de Signed-off-by: Ingo Molnar <mingo@kernel.org>
2016-02-22 22:19:15 +00:00
void __init smp_store_boot_cpu_info(void)
{
int id = 0; /* CPU 0 */
struct cpuinfo_x86 *c = &cpu_data(id);
*c = boot_cpu_data;
c->cpu_index = id;
2017-11-14 12:42:57 +00:00
topology_update_package_map(c->phys_proc_id, id);
topology_update_die_map(c->cpu_die_id, id);
x86/topology: Avoid wasting 128k for package id array Analyzing large early boot allocations unveiled the logical package id storage as a prominent memory waste. Since commit 1f12e32f4cd5 ("x86/topology: Create logical package id") every 64-bit system allocates a 128k array to convert logical package ids. This happens because the array is sized for MAX_LOCAL_APIC which is always 32k on 64bit systems, and it needs 4 bytes for each entry. This is fairly wasteful, especially for the common case of having only one socket, which uses exactly 4 byte out of 128K. There is no user of the package id map which is performance critical, so the lookup is not required to be O(1). Store the logical processor id in cpu_data and use a loop based lookup. To keep the mapping stable accross cpu hotplug operations, add a flag to cpu_data which is set when the CPU is brought up the first time. When the flag is set, then cpu_data is not reinitialized by copying boot_cpu_data on subsequent bringups. [ tglx: Rename the flag to 'initialized', use proper pointers instead of repeated cpu_data(x) evaluation and massage changelog. ] Signed-off-by: Andi Kleen <ak@linux.intel.com> Signed-off-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Cc: Tom Lendacky <thomas.lendacky@amd.com> Cc: Christian Borntraeger <borntraeger@de.ibm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Kan Liang <kan.liang@intel.com> Cc: He Chen <he.chen@linux.intel.com> Cc: Stephane Eranian <eranian@google.com> Cc: Dave Hansen <dave.hansen@intel.com> Cc: Piotr Luc <piotr.luc@intel.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Arvind Yadav <arvind.yadav.cs@gmail.com> Cc: Vitaly Kuznetsov <vkuznets@redhat.com> Cc: Borislav Petkov <bp@suse.de> Cc: Tim Chen <tim.c.chen@linux.intel.com> Cc: Mathias Krause <minipli@googlemail.com> Cc: "Kirill A. Shutemov" <kirill.shutemov@linux.intel.com> Link: https://lkml.kernel.org/r/20171114124257.22013-3-prarit@redhat.com
2017-11-14 12:42:56 +00:00
c->initialized = true;
}
/*
* The bootstrap kernel entry code has set these up. Save them for
* a given CPU
*/
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
void smp_store_cpu_info(int id)
{
struct cpuinfo_x86 *c = &cpu_data(id);
x86/topology: Avoid wasting 128k for package id array Analyzing large early boot allocations unveiled the logical package id storage as a prominent memory waste. Since commit 1f12e32f4cd5 ("x86/topology: Create logical package id") every 64-bit system allocates a 128k array to convert logical package ids. This happens because the array is sized for MAX_LOCAL_APIC which is always 32k on 64bit systems, and it needs 4 bytes for each entry. This is fairly wasteful, especially for the common case of having only one socket, which uses exactly 4 byte out of 128K. There is no user of the package id map which is performance critical, so the lookup is not required to be O(1). Store the logical processor id in cpu_data and use a loop based lookup. To keep the mapping stable accross cpu hotplug operations, add a flag to cpu_data which is set when the CPU is brought up the first time. When the flag is set, then cpu_data is not reinitialized by copying boot_cpu_data on subsequent bringups. [ tglx: Rename the flag to 'initialized', use proper pointers instead of repeated cpu_data(x) evaluation and massage changelog. ] Signed-off-by: Andi Kleen <ak@linux.intel.com> Signed-off-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Cc: Tom Lendacky <thomas.lendacky@amd.com> Cc: Christian Borntraeger <borntraeger@de.ibm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Kan Liang <kan.liang@intel.com> Cc: He Chen <he.chen@linux.intel.com> Cc: Stephane Eranian <eranian@google.com> Cc: Dave Hansen <dave.hansen@intel.com> Cc: Piotr Luc <piotr.luc@intel.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Arvind Yadav <arvind.yadav.cs@gmail.com> Cc: Vitaly Kuznetsov <vkuznets@redhat.com> Cc: Borislav Petkov <bp@suse.de> Cc: Tim Chen <tim.c.chen@linux.intel.com> Cc: Mathias Krause <minipli@googlemail.com> Cc: "Kirill A. Shutemov" <kirill.shutemov@linux.intel.com> Link: https://lkml.kernel.org/r/20171114124257.22013-3-prarit@redhat.com
2017-11-14 12:42:56 +00:00
/* Copy boot_cpu_data only on the first bringup */
if (!c->initialized)
*c = boot_cpu_data;
c->cpu_index = id;
/*
* During boot time, CPU0 has this setup already. Save the info when
* bringing up AP or offlined CPU0.
*/
identify_secondary_cpu(c);
x86/topology: Avoid wasting 128k for package id array Analyzing large early boot allocations unveiled the logical package id storage as a prominent memory waste. Since commit 1f12e32f4cd5 ("x86/topology: Create logical package id") every 64-bit system allocates a 128k array to convert logical package ids. This happens because the array is sized for MAX_LOCAL_APIC which is always 32k on 64bit systems, and it needs 4 bytes for each entry. This is fairly wasteful, especially for the common case of having only one socket, which uses exactly 4 byte out of 128K. There is no user of the package id map which is performance critical, so the lookup is not required to be O(1). Store the logical processor id in cpu_data and use a loop based lookup. To keep the mapping stable accross cpu hotplug operations, add a flag to cpu_data which is set when the CPU is brought up the first time. When the flag is set, then cpu_data is not reinitialized by copying boot_cpu_data on subsequent bringups. [ tglx: Rename the flag to 'initialized', use proper pointers instead of repeated cpu_data(x) evaluation and massage changelog. ] Signed-off-by: Andi Kleen <ak@linux.intel.com> Signed-off-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Cc: Tom Lendacky <thomas.lendacky@amd.com> Cc: Christian Borntraeger <borntraeger@de.ibm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Kan Liang <kan.liang@intel.com> Cc: He Chen <he.chen@linux.intel.com> Cc: Stephane Eranian <eranian@google.com> Cc: Dave Hansen <dave.hansen@intel.com> Cc: Piotr Luc <piotr.luc@intel.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Arvind Yadav <arvind.yadav.cs@gmail.com> Cc: Vitaly Kuznetsov <vkuznets@redhat.com> Cc: Borislav Petkov <bp@suse.de> Cc: Tim Chen <tim.c.chen@linux.intel.com> Cc: Mathias Krause <minipli@googlemail.com> Cc: "Kirill A. Shutemov" <kirill.shutemov@linux.intel.com> Link: https://lkml.kernel.org/r/20171114124257.22013-3-prarit@redhat.com
2017-11-14 12:42:56 +00:00
c->initialized = true;
}
x86, sched: Add new topology for multi-NUMA-node CPUs I'm getting the spew below when booting with Haswell (Xeon E5-2699 v3) CPUs and the "Cluster-on-Die" (CoD) feature enabled in the BIOS. It seems similar to the issue that some folks from AMD ran in to on their systems and addressed in this commit: 161270fc1f9d ("x86/smp: Fix topology checks on AMD MCM CPUs") Both these Intel and AMD systems break an assumption which is being enforced by topology_sane(): a socket may not contain more than one NUMA node. AMD special-cased their system by looking for a cpuid flag. The Intel mode is dependent on BIOS options and I do not know of a way which it is enumerated other than the tables being parsed during the CPU bringup process. In other words, we have to trust the ACPI tables <shudder>. This detects the situation where a NUMA node occurs at a place in the middle of the "CPU" sched domains. It replaces the default topology with one that relies on the NUMA information from the firmware (SRAT table) for all levels of sched domains above the hyperthreads. This also fixes a sysfs bug. We used to freak out when we saw the "mc" group cross a node boundary, so we stopped building the MC group. MC gets exported as the 'core_siblings_list' in /sys/devices/system/cpu/cpu*/topology/ and this caused CPUs with the same 'physical_package_id' to not be listed together in 'core_siblings_list'. This violates a statement from Documentation/ABI/testing/sysfs-devices-system-cpu: core_siblings: internal kernel map of cpu#'s hardware threads within the same physical_package_id. core_siblings_list: human-readable list of the logical CPU numbers within the same physical_package_id as cpu#. The sysfs effects here cause an issue with the hwloc tool where it gets confused and thinks there are more sockets than are physically present. Before this patch, there are two packages: # cd /sys/devices/system/cpu/ # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 But 4 _sets_ of core siblings: # cat cpu*/topology/core_siblings_list | sort | uniq -c 9 0-8 9 18-26 9 27-35 9 9-17 After this set, there are only 2 sets of core siblings, which is what we expect for a 2-socket system. # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 # cat cpu*/topology/core_siblings_list | sort | uniq -c 18 0-17 18 18-35 Example spew: ... NMI watchdog: enabled on all CPUs, permanently consumes one hw-PMU counter. #2 #3 #4 #5 #6 #7 #8 .... node #1, CPUs: #9 ------------[ cut here ]------------ WARNING: CPU: 9 PID: 0 at /home/ak/hle/linux-hle-2.6/arch/x86/kernel/smpboot.c:306 topology_sane.isra.2+0x74/0x90() sched: CPU #9's mc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. Modules linked in: CPU: 9 PID: 0 Comm: swapper/9 Not tainted 3.17.0-rc1-00293-g8e01c4d-dirty #631 Hardware name: Intel Corporation S2600WTT/S2600WTT, BIOS GRNDSDP1.86B.0036.R05.1407140519 07/14/2014 0000000000000009 ffff88046ddabe00 ffffffff8172e485 ffff88046ddabe48 ffff88046ddabe38 ffffffff8109691d 000000000000b001 0000000000000009 ffff88086fc12580 000000000000b020 0000000000000009 ffff88046ddabe98 Call Trace: [<ffffffff8172e485>] dump_stack+0x45/0x56 [<ffffffff8109691d>] warn_slowpath_common+0x7d/0xa0 [<ffffffff8109698c>] warn_slowpath_fmt+0x4c/0x50 [<ffffffff81074f94>] topology_sane.isra.2+0x74/0x90 [<ffffffff8107530e>] set_cpu_sibling_map+0x31e/0x4f0 [<ffffffff8107568d>] start_secondary+0x1ad/0x240 ---[ end trace 3fe5f587a9fcde61 ]--- #10 #11 #12 #13 #14 #15 #16 #17 .... node #2, CPUs: #18 #19 #20 #21 #22 #23 #24 #25 #26 .... node #3, CPUs: #27 #28 #29 #30 #31 #32 #33 #34 #35 Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com> [ Added LLC domain and s/match_mc/match_die/ ] Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: brice.goglin@gmail.com Cc: "H. Peter Anvin" <hpa@linux.intel.com> Link: http://lkml.kernel.org/r/20140918193334.C065EBCE@viggo.jf.intel.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-09-18 19:33:34 +00:00
static bool
topology_same_node(struct cpuinfo_x86 *c, struct cpuinfo_x86 *o)
{
int cpu1 = c->cpu_index, cpu2 = o->cpu_index;
return (cpu_to_node(cpu1) == cpu_to_node(cpu2));
}
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
static bool
topology_sane(struct cpuinfo_x86 *c, struct cpuinfo_x86 *o, const char *name)
{
int cpu1 = c->cpu_index, cpu2 = o->cpu_index;
x86, sched: Add new topology for multi-NUMA-node CPUs I'm getting the spew below when booting with Haswell (Xeon E5-2699 v3) CPUs and the "Cluster-on-Die" (CoD) feature enabled in the BIOS. It seems similar to the issue that some folks from AMD ran in to on their systems and addressed in this commit: 161270fc1f9d ("x86/smp: Fix topology checks on AMD MCM CPUs") Both these Intel and AMD systems break an assumption which is being enforced by topology_sane(): a socket may not contain more than one NUMA node. AMD special-cased their system by looking for a cpuid flag. The Intel mode is dependent on BIOS options and I do not know of a way which it is enumerated other than the tables being parsed during the CPU bringup process. In other words, we have to trust the ACPI tables <shudder>. This detects the situation where a NUMA node occurs at a place in the middle of the "CPU" sched domains. It replaces the default topology with one that relies on the NUMA information from the firmware (SRAT table) for all levels of sched domains above the hyperthreads. This also fixes a sysfs bug. We used to freak out when we saw the "mc" group cross a node boundary, so we stopped building the MC group. MC gets exported as the 'core_siblings_list' in /sys/devices/system/cpu/cpu*/topology/ and this caused CPUs with the same 'physical_package_id' to not be listed together in 'core_siblings_list'. This violates a statement from Documentation/ABI/testing/sysfs-devices-system-cpu: core_siblings: internal kernel map of cpu#'s hardware threads within the same physical_package_id. core_siblings_list: human-readable list of the logical CPU numbers within the same physical_package_id as cpu#. The sysfs effects here cause an issue with the hwloc tool where it gets confused and thinks there are more sockets than are physically present. Before this patch, there are two packages: # cd /sys/devices/system/cpu/ # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 But 4 _sets_ of core siblings: # cat cpu*/topology/core_siblings_list | sort | uniq -c 9 0-8 9 18-26 9 27-35 9 9-17 After this set, there are only 2 sets of core siblings, which is what we expect for a 2-socket system. # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 # cat cpu*/topology/core_siblings_list | sort | uniq -c 18 0-17 18 18-35 Example spew: ... NMI watchdog: enabled on all CPUs, permanently consumes one hw-PMU counter. #2 #3 #4 #5 #6 #7 #8 .... node #1, CPUs: #9 ------------[ cut here ]------------ WARNING: CPU: 9 PID: 0 at /home/ak/hle/linux-hle-2.6/arch/x86/kernel/smpboot.c:306 topology_sane.isra.2+0x74/0x90() sched: CPU #9's mc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. Modules linked in: CPU: 9 PID: 0 Comm: swapper/9 Not tainted 3.17.0-rc1-00293-g8e01c4d-dirty #631 Hardware name: Intel Corporation S2600WTT/S2600WTT, BIOS GRNDSDP1.86B.0036.R05.1407140519 07/14/2014 0000000000000009 ffff88046ddabe00 ffffffff8172e485 ffff88046ddabe48 ffff88046ddabe38 ffffffff8109691d 000000000000b001 0000000000000009 ffff88086fc12580 000000000000b020 0000000000000009 ffff88046ddabe98 Call Trace: [<ffffffff8172e485>] dump_stack+0x45/0x56 [<ffffffff8109691d>] warn_slowpath_common+0x7d/0xa0 [<ffffffff8109698c>] warn_slowpath_fmt+0x4c/0x50 [<ffffffff81074f94>] topology_sane.isra.2+0x74/0x90 [<ffffffff8107530e>] set_cpu_sibling_map+0x31e/0x4f0 [<ffffffff8107568d>] start_secondary+0x1ad/0x240 ---[ end trace 3fe5f587a9fcde61 ]--- #10 #11 #12 #13 #14 #15 #16 #17 .... node #2, CPUs: #18 #19 #20 #21 #22 #23 #24 #25 #26 .... node #3, CPUs: #27 #28 #29 #30 #31 #32 #33 #34 #35 Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com> [ Added LLC domain and s/match_mc/match_die/ ] Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: brice.goglin@gmail.com Cc: "H. Peter Anvin" <hpa@linux.intel.com> Link: http://lkml.kernel.org/r/20140918193334.C065EBCE@viggo.jf.intel.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-09-18 19:33:34 +00:00
return !WARN_ONCE(!topology_same_node(c, o),
"sched: CPU #%d's %s-sibling CPU #%d is not on the same node! "
"[node: %d != %d]. Ignoring dependency.\n",
cpu1, name, cpu2, cpu_to_node(cpu1), cpu_to_node(cpu2));
}
#define link_mask(mfunc, c1, c2) \
do { \
cpumask_set_cpu((c1), mfunc(c2)); \
cpumask_set_cpu((c2), mfunc(c1)); \
} while (0)
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
static bool match_smt(struct cpuinfo_x86 *c, struct cpuinfo_x86 *o)
{
if (boot_cpu_has(X86_FEATURE_TOPOEXT)) {
int cpu1 = c->cpu_index, cpu2 = o->cpu_index;
if (c->phys_proc_id == o->phys_proc_id &&
c->cpu_die_id == o->cpu_die_id &&
per_cpu(cpu_llc_id, cpu1) == per_cpu(cpu_llc_id, cpu2)) {
if (c->cpu_core_id == o->cpu_core_id)
return topology_sane(c, o, "smt");
if ((c->cu_id != 0xff) &&
(o->cu_id != 0xff) &&
(c->cu_id == o->cu_id))
return topology_sane(c, o, "smt");
}
} else if (c->phys_proc_id == o->phys_proc_id &&
c->cpu_die_id == o->cpu_die_id &&
c->cpu_core_id == o->cpu_core_id) {
return topology_sane(c, o, "smt");
}
return false;
}
static bool match_die(struct cpuinfo_x86 *c, struct cpuinfo_x86 *o)
{
if (c->phys_proc_id == o->phys_proc_id &&
c->cpu_die_id == o->cpu_die_id)
return true;
return false;
}
static bool match_l2c(struct cpuinfo_x86 *c, struct cpuinfo_x86 *o)
{
int cpu1 = c->cpu_index, cpu2 = o->cpu_index;
/* If the arch didn't set up l2c_id, fall back to SMT */
if (per_cpu(cpu_l2c_id, cpu1) == BAD_APICID)
return match_smt(c, o);
/* Do not match if L2 cache id does not match: */
if (per_cpu(cpu_l2c_id, cpu1) != per_cpu(cpu_l2c_id, cpu2))
return false;
return topology_sane(c, o, "l2c");
}
x86,sched: Allow topologies where NUMA nodes share an LLC Intel's Skylake Server CPUs have a different LLC topology than previous generations. When in Sub-NUMA-Clustering (SNC) mode, the package is divided into two "slices", each containing half the cores, half the LLC, and one memory controller and each slice is enumerated to Linux as a NUMA node. This is similar to how the cores and LLC were arranged for the Cluster-On-Die (CoD) feature. CoD allowed the same cache line to be present in each half of the LLC. But, with SNC, each line is only ever present in *one* slice. This means that the portion of the LLC *available* to a CPU depends on the data being accessed: Remote socket: entire package LLC is shared Local socket->local slice: data goes into local slice LLC Local socket->remote slice: data goes into remote-slice LLC. Slightly higher latency than local slice LLC. The biggest implication from this is that a process accessing all NUMA-local memory only sees half the LLC capacity. The CPU describes its cache hierarchy with the CPUID instruction. One of the CPUID leaves enumerates the "logical processors sharing this cache". This information is used for scheduling decisions so that tasks move more freely between CPUs sharing the cache. But, the CPUID for the SNC configuration discussed above enumerates the LLC as being shared by the entire package. This is not 100% precise because the entire cache is not usable by all accesses. But, it *is* the way the hardware enumerates itself, and this is not likely to change. The userspace visible impact of all the above is that the sysfs info reports the entire LLC as being available to the entire package. As noted above, this is not true for local socket accesses. This patch does not correct the sysfs info. It is the same, pre and post patch. The current code emits the following warning: sched: CPU #3's llc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. The warning is coming from the topology_sane() check in smpboot.c because the topology is not matching the expectations of the model for obvious reasons. To fix this, add a vendor and model specific check to never call topology_sane() for these systems. Also, just like "Cluster-on-Die" disable the "coregroup" sched_domain_topology_level and use NUMA information from the SRAT alone. This is OK at least on the hardware we are immediately concerned about because the LLC sharing happens at both the slice and at the package level, which are also NUMA boundaries. Signed-off-by: Alison Schofield <alison.schofield@intel.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Reviewed-by: Borislav Petkov <bp@suse.de> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: brice.goglin@gmail.com Cc: Dave Hansen <dave.hansen@linux.intel.com> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: "H. Peter Anvin" <hpa@linux.intel.com> Cc: Tim Chen <tim.c.chen@linux.intel.com> Link: https://lkml.kernel.org/r/20180407002130.GA18984@alison-desk.jf.intel.com
2018-04-07 00:21:30 +00:00
/*
* Unlike the other levels, we do not enforce keeping a
* multicore group inside a NUMA node. If this happens, we will
* discard the MC level of the topology later.
*/
static bool match_pkg(struct cpuinfo_x86 *c, struct cpuinfo_x86 *o)
{
if (c->phys_proc_id == o->phys_proc_id)
return true;
return false;
}
/*
* Define intel_cod_cpu[] for Intel COD (Cluster-on-Die) CPUs.
x86,sched: Allow topologies where NUMA nodes share an LLC Intel's Skylake Server CPUs have a different LLC topology than previous generations. When in Sub-NUMA-Clustering (SNC) mode, the package is divided into two "slices", each containing half the cores, half the LLC, and one memory controller and each slice is enumerated to Linux as a NUMA node. This is similar to how the cores and LLC were arranged for the Cluster-On-Die (CoD) feature. CoD allowed the same cache line to be present in each half of the LLC. But, with SNC, each line is only ever present in *one* slice. This means that the portion of the LLC *available* to a CPU depends on the data being accessed: Remote socket: entire package LLC is shared Local socket->local slice: data goes into local slice LLC Local socket->remote slice: data goes into remote-slice LLC. Slightly higher latency than local slice LLC. The biggest implication from this is that a process accessing all NUMA-local memory only sees half the LLC capacity. The CPU describes its cache hierarchy with the CPUID instruction. One of the CPUID leaves enumerates the "logical processors sharing this cache". This information is used for scheduling decisions so that tasks move more freely between CPUs sharing the cache. But, the CPUID for the SNC configuration discussed above enumerates the LLC as being shared by the entire package. This is not 100% precise because the entire cache is not usable by all accesses. But, it *is* the way the hardware enumerates itself, and this is not likely to change. The userspace visible impact of all the above is that the sysfs info reports the entire LLC as being available to the entire package. As noted above, this is not true for local socket accesses. This patch does not correct the sysfs info. It is the same, pre and post patch. The current code emits the following warning: sched: CPU #3's llc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. The warning is coming from the topology_sane() check in smpboot.c because the topology is not matching the expectations of the model for obvious reasons. To fix this, add a vendor and model specific check to never call topology_sane() for these systems. Also, just like "Cluster-on-Die" disable the "coregroup" sched_domain_topology_level and use NUMA information from the SRAT alone. This is OK at least on the hardware we are immediately concerned about because the LLC sharing happens at both the slice and at the package level, which are also NUMA boundaries. Signed-off-by: Alison Schofield <alison.schofield@intel.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Reviewed-by: Borislav Petkov <bp@suse.de> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: brice.goglin@gmail.com Cc: Dave Hansen <dave.hansen@linux.intel.com> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: "H. Peter Anvin" <hpa@linux.intel.com> Cc: Tim Chen <tim.c.chen@linux.intel.com> Link: https://lkml.kernel.org/r/20180407002130.GA18984@alison-desk.jf.intel.com
2018-04-07 00:21:30 +00:00
*
* Any Intel CPU that has multiple nodes per package and does not
* match intel_cod_cpu[] has the SNC (Sub-NUMA Cluster) topology.
x86,sched: Allow topologies where NUMA nodes share an LLC Intel's Skylake Server CPUs have a different LLC topology than previous generations. When in Sub-NUMA-Clustering (SNC) mode, the package is divided into two "slices", each containing half the cores, half the LLC, and one memory controller and each slice is enumerated to Linux as a NUMA node. This is similar to how the cores and LLC were arranged for the Cluster-On-Die (CoD) feature. CoD allowed the same cache line to be present in each half of the LLC. But, with SNC, each line is only ever present in *one* slice. This means that the portion of the LLC *available* to a CPU depends on the data being accessed: Remote socket: entire package LLC is shared Local socket->local slice: data goes into local slice LLC Local socket->remote slice: data goes into remote-slice LLC. Slightly higher latency than local slice LLC. The biggest implication from this is that a process accessing all NUMA-local memory only sees half the LLC capacity. The CPU describes its cache hierarchy with the CPUID instruction. One of the CPUID leaves enumerates the "logical processors sharing this cache". This information is used for scheduling decisions so that tasks move more freely between CPUs sharing the cache. But, the CPUID for the SNC configuration discussed above enumerates the LLC as being shared by the entire package. This is not 100% precise because the entire cache is not usable by all accesses. But, it *is* the way the hardware enumerates itself, and this is not likely to change. The userspace visible impact of all the above is that the sysfs info reports the entire LLC as being available to the entire package. As noted above, this is not true for local socket accesses. This patch does not correct the sysfs info. It is the same, pre and post patch. The current code emits the following warning: sched: CPU #3's llc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. The warning is coming from the topology_sane() check in smpboot.c because the topology is not matching the expectations of the model for obvious reasons. To fix this, add a vendor and model specific check to never call topology_sane() for these systems. Also, just like "Cluster-on-Die" disable the "coregroup" sched_domain_topology_level and use NUMA information from the SRAT alone. This is OK at least on the hardware we are immediately concerned about because the LLC sharing happens at both the slice and at the package level, which are also NUMA boundaries. Signed-off-by: Alison Schofield <alison.schofield@intel.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Reviewed-by: Borislav Petkov <bp@suse.de> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: brice.goglin@gmail.com Cc: Dave Hansen <dave.hansen@linux.intel.com> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: "H. Peter Anvin" <hpa@linux.intel.com> Cc: Tim Chen <tim.c.chen@linux.intel.com> Link: https://lkml.kernel.org/r/20180407002130.GA18984@alison-desk.jf.intel.com
2018-04-07 00:21:30 +00:00
*
* When in SNC mode, these CPUs enumerate an LLC that is shared
* by multiple NUMA nodes. The LLC is shared for off-package data
* access but private to the NUMA node (half of the package) for
* on-package access. CPUID (the source of the information about
* the LLC) can only enumerate the cache as shared or unshared,
* but not this particular configuration.
x86,sched: Allow topologies where NUMA nodes share an LLC Intel's Skylake Server CPUs have a different LLC topology than previous generations. When in Sub-NUMA-Clustering (SNC) mode, the package is divided into two "slices", each containing half the cores, half the LLC, and one memory controller and each slice is enumerated to Linux as a NUMA node. This is similar to how the cores and LLC were arranged for the Cluster-On-Die (CoD) feature. CoD allowed the same cache line to be present in each half of the LLC. But, with SNC, each line is only ever present in *one* slice. This means that the portion of the LLC *available* to a CPU depends on the data being accessed: Remote socket: entire package LLC is shared Local socket->local slice: data goes into local slice LLC Local socket->remote slice: data goes into remote-slice LLC. Slightly higher latency than local slice LLC. The biggest implication from this is that a process accessing all NUMA-local memory only sees half the LLC capacity. The CPU describes its cache hierarchy with the CPUID instruction. One of the CPUID leaves enumerates the "logical processors sharing this cache". This information is used for scheduling decisions so that tasks move more freely between CPUs sharing the cache. But, the CPUID for the SNC configuration discussed above enumerates the LLC as being shared by the entire package. This is not 100% precise because the entire cache is not usable by all accesses. But, it *is* the way the hardware enumerates itself, and this is not likely to change. The userspace visible impact of all the above is that the sysfs info reports the entire LLC as being available to the entire package. As noted above, this is not true for local socket accesses. This patch does not correct the sysfs info. It is the same, pre and post patch. The current code emits the following warning: sched: CPU #3's llc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. The warning is coming from the topology_sane() check in smpboot.c because the topology is not matching the expectations of the model for obvious reasons. To fix this, add a vendor and model specific check to never call topology_sane() for these systems. Also, just like "Cluster-on-Die" disable the "coregroup" sched_domain_topology_level and use NUMA information from the SRAT alone. This is OK at least on the hardware we are immediately concerned about because the LLC sharing happens at both the slice and at the package level, which are also NUMA boundaries. Signed-off-by: Alison Schofield <alison.schofield@intel.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Reviewed-by: Borislav Petkov <bp@suse.de> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: brice.goglin@gmail.com Cc: Dave Hansen <dave.hansen@linux.intel.com> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: "H. Peter Anvin" <hpa@linux.intel.com> Cc: Tim Chen <tim.c.chen@linux.intel.com> Link: https://lkml.kernel.org/r/20180407002130.GA18984@alison-desk.jf.intel.com
2018-04-07 00:21:30 +00:00
*/
static const struct x86_cpu_id intel_cod_cpu[] = {
X86_MATCH_INTEL_FAM6_MODEL(HASWELL_X, 0), /* COD */
X86_MATCH_INTEL_FAM6_MODEL(BROADWELL_X, 0), /* COD */
X86_MATCH_INTEL_FAM6_MODEL(ANY, 1), /* SNC */
x86,sched: Allow topologies where NUMA nodes share an LLC Intel's Skylake Server CPUs have a different LLC topology than previous generations. When in Sub-NUMA-Clustering (SNC) mode, the package is divided into two "slices", each containing half the cores, half the LLC, and one memory controller and each slice is enumerated to Linux as a NUMA node. This is similar to how the cores and LLC were arranged for the Cluster-On-Die (CoD) feature. CoD allowed the same cache line to be present in each half of the LLC. But, with SNC, each line is only ever present in *one* slice. This means that the portion of the LLC *available* to a CPU depends on the data being accessed: Remote socket: entire package LLC is shared Local socket->local slice: data goes into local slice LLC Local socket->remote slice: data goes into remote-slice LLC. Slightly higher latency than local slice LLC. The biggest implication from this is that a process accessing all NUMA-local memory only sees half the LLC capacity. The CPU describes its cache hierarchy with the CPUID instruction. One of the CPUID leaves enumerates the "logical processors sharing this cache". This information is used for scheduling decisions so that tasks move more freely between CPUs sharing the cache. But, the CPUID for the SNC configuration discussed above enumerates the LLC as being shared by the entire package. This is not 100% precise because the entire cache is not usable by all accesses. But, it *is* the way the hardware enumerates itself, and this is not likely to change. The userspace visible impact of all the above is that the sysfs info reports the entire LLC as being available to the entire package. As noted above, this is not true for local socket accesses. This patch does not correct the sysfs info. It is the same, pre and post patch. The current code emits the following warning: sched: CPU #3's llc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. The warning is coming from the topology_sane() check in smpboot.c because the topology is not matching the expectations of the model for obvious reasons. To fix this, add a vendor and model specific check to never call topology_sane() for these systems. Also, just like "Cluster-on-Die" disable the "coregroup" sched_domain_topology_level and use NUMA information from the SRAT alone. This is OK at least on the hardware we are immediately concerned about because the LLC sharing happens at both the slice and at the package level, which are also NUMA boundaries. Signed-off-by: Alison Schofield <alison.schofield@intel.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Reviewed-by: Borislav Petkov <bp@suse.de> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: brice.goglin@gmail.com Cc: Dave Hansen <dave.hansen@linux.intel.com> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: "H. Peter Anvin" <hpa@linux.intel.com> Cc: Tim Chen <tim.c.chen@linux.intel.com> Link: https://lkml.kernel.org/r/20180407002130.GA18984@alison-desk.jf.intel.com
2018-04-07 00:21:30 +00:00
{}
};
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
static bool match_llc(struct cpuinfo_x86 *c, struct cpuinfo_x86 *o)
{
const struct x86_cpu_id *id = x86_match_cpu(intel_cod_cpu);
int cpu1 = c->cpu_index, cpu2 = o->cpu_index;
bool intel_snc = id && id->driver_data;
x86,sched: Allow topologies where NUMA nodes share an LLC Intel's Skylake Server CPUs have a different LLC topology than previous generations. When in Sub-NUMA-Clustering (SNC) mode, the package is divided into two "slices", each containing half the cores, half the LLC, and one memory controller and each slice is enumerated to Linux as a NUMA node. This is similar to how the cores and LLC were arranged for the Cluster-On-Die (CoD) feature. CoD allowed the same cache line to be present in each half of the LLC. But, with SNC, each line is only ever present in *one* slice. This means that the portion of the LLC *available* to a CPU depends on the data being accessed: Remote socket: entire package LLC is shared Local socket->local slice: data goes into local slice LLC Local socket->remote slice: data goes into remote-slice LLC. Slightly higher latency than local slice LLC. The biggest implication from this is that a process accessing all NUMA-local memory only sees half the LLC capacity. The CPU describes its cache hierarchy with the CPUID instruction. One of the CPUID leaves enumerates the "logical processors sharing this cache". This information is used for scheduling decisions so that tasks move more freely between CPUs sharing the cache. But, the CPUID for the SNC configuration discussed above enumerates the LLC as being shared by the entire package. This is not 100% precise because the entire cache is not usable by all accesses. But, it *is* the way the hardware enumerates itself, and this is not likely to change. The userspace visible impact of all the above is that the sysfs info reports the entire LLC as being available to the entire package. As noted above, this is not true for local socket accesses. This patch does not correct the sysfs info. It is the same, pre and post patch. The current code emits the following warning: sched: CPU #3's llc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. The warning is coming from the topology_sane() check in smpboot.c because the topology is not matching the expectations of the model for obvious reasons. To fix this, add a vendor and model specific check to never call topology_sane() for these systems. Also, just like "Cluster-on-Die" disable the "coregroup" sched_domain_topology_level and use NUMA information from the SRAT alone. This is OK at least on the hardware we are immediately concerned about because the LLC sharing happens at both the slice and at the package level, which are also NUMA boundaries. Signed-off-by: Alison Schofield <alison.schofield@intel.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Reviewed-by: Borislav Petkov <bp@suse.de> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: brice.goglin@gmail.com Cc: Dave Hansen <dave.hansen@linux.intel.com> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: "H. Peter Anvin" <hpa@linux.intel.com> Cc: Tim Chen <tim.c.chen@linux.intel.com> Link: https://lkml.kernel.org/r/20180407002130.GA18984@alison-desk.jf.intel.com
2018-04-07 00:21:30 +00:00
/* Do not match if we do not have a valid APICID for cpu: */
if (per_cpu(cpu_llc_id, cpu1) == BAD_APICID)
return false;
x86,sched: Allow topologies where NUMA nodes share an LLC Intel's Skylake Server CPUs have a different LLC topology than previous generations. When in Sub-NUMA-Clustering (SNC) mode, the package is divided into two "slices", each containing half the cores, half the LLC, and one memory controller and each slice is enumerated to Linux as a NUMA node. This is similar to how the cores and LLC were arranged for the Cluster-On-Die (CoD) feature. CoD allowed the same cache line to be present in each half of the LLC. But, with SNC, each line is only ever present in *one* slice. This means that the portion of the LLC *available* to a CPU depends on the data being accessed: Remote socket: entire package LLC is shared Local socket->local slice: data goes into local slice LLC Local socket->remote slice: data goes into remote-slice LLC. Slightly higher latency than local slice LLC. The biggest implication from this is that a process accessing all NUMA-local memory only sees half the LLC capacity. The CPU describes its cache hierarchy with the CPUID instruction. One of the CPUID leaves enumerates the "logical processors sharing this cache". This information is used for scheduling decisions so that tasks move more freely between CPUs sharing the cache. But, the CPUID for the SNC configuration discussed above enumerates the LLC as being shared by the entire package. This is not 100% precise because the entire cache is not usable by all accesses. But, it *is* the way the hardware enumerates itself, and this is not likely to change. The userspace visible impact of all the above is that the sysfs info reports the entire LLC as being available to the entire package. As noted above, this is not true for local socket accesses. This patch does not correct the sysfs info. It is the same, pre and post patch. The current code emits the following warning: sched: CPU #3's llc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. The warning is coming from the topology_sane() check in smpboot.c because the topology is not matching the expectations of the model for obvious reasons. To fix this, add a vendor and model specific check to never call topology_sane() for these systems. Also, just like "Cluster-on-Die" disable the "coregroup" sched_domain_topology_level and use NUMA information from the SRAT alone. This is OK at least on the hardware we are immediately concerned about because the LLC sharing happens at both the slice and at the package level, which are also NUMA boundaries. Signed-off-by: Alison Schofield <alison.schofield@intel.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Reviewed-by: Borislav Petkov <bp@suse.de> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: brice.goglin@gmail.com Cc: Dave Hansen <dave.hansen@linux.intel.com> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: "H. Peter Anvin" <hpa@linux.intel.com> Cc: Tim Chen <tim.c.chen@linux.intel.com> Link: https://lkml.kernel.org/r/20180407002130.GA18984@alison-desk.jf.intel.com
2018-04-07 00:21:30 +00:00
/* Do not match if LLC id does not match: */
if (per_cpu(cpu_llc_id, cpu1) != per_cpu(cpu_llc_id, cpu2))
return false;
/*
* Allow the SNC topology without warning. Return of false
* means 'c' does not share the LLC of 'o'. This will be
* reflected to userspace.
*/
if (match_pkg(c, o) && !topology_same_node(c, o) && intel_snc)
x86,sched: Allow topologies where NUMA nodes share an LLC Intel's Skylake Server CPUs have a different LLC topology than previous generations. When in Sub-NUMA-Clustering (SNC) mode, the package is divided into two "slices", each containing half the cores, half the LLC, and one memory controller and each slice is enumerated to Linux as a NUMA node. This is similar to how the cores and LLC were arranged for the Cluster-On-Die (CoD) feature. CoD allowed the same cache line to be present in each half of the LLC. But, with SNC, each line is only ever present in *one* slice. This means that the portion of the LLC *available* to a CPU depends on the data being accessed: Remote socket: entire package LLC is shared Local socket->local slice: data goes into local slice LLC Local socket->remote slice: data goes into remote-slice LLC. Slightly higher latency than local slice LLC. The biggest implication from this is that a process accessing all NUMA-local memory only sees half the LLC capacity. The CPU describes its cache hierarchy with the CPUID instruction. One of the CPUID leaves enumerates the "logical processors sharing this cache". This information is used for scheduling decisions so that tasks move more freely between CPUs sharing the cache. But, the CPUID for the SNC configuration discussed above enumerates the LLC as being shared by the entire package. This is not 100% precise because the entire cache is not usable by all accesses. But, it *is* the way the hardware enumerates itself, and this is not likely to change. The userspace visible impact of all the above is that the sysfs info reports the entire LLC as being available to the entire package. As noted above, this is not true for local socket accesses. This patch does not correct the sysfs info. It is the same, pre and post patch. The current code emits the following warning: sched: CPU #3's llc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. The warning is coming from the topology_sane() check in smpboot.c because the topology is not matching the expectations of the model for obvious reasons. To fix this, add a vendor and model specific check to never call topology_sane() for these systems. Also, just like "Cluster-on-Die" disable the "coregroup" sched_domain_topology_level and use NUMA information from the SRAT alone. This is OK at least on the hardware we are immediately concerned about because the LLC sharing happens at both the slice and at the package level, which are also NUMA boundaries. Signed-off-by: Alison Schofield <alison.schofield@intel.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Reviewed-by: Borislav Petkov <bp@suse.de> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: brice.goglin@gmail.com Cc: Dave Hansen <dave.hansen@linux.intel.com> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: "H. Peter Anvin" <hpa@linux.intel.com> Cc: Tim Chen <tim.c.chen@linux.intel.com> Link: https://lkml.kernel.org/r/20180407002130.GA18984@alison-desk.jf.intel.com
2018-04-07 00:21:30 +00:00
return false;
return topology_sane(c, o, "llc");
}
#if defined(CONFIG_SCHED_SMT) || defined(CONFIG_SCHED_CLUSTER) || defined(CONFIG_SCHED_MC)
static inline int x86_sched_itmt_flags(void)
{
return sysctl_sched_itmt_enabled ? SD_ASYM_PACKING : 0;
}
#ifdef CONFIG_SCHED_MC
static int x86_core_flags(void)
{
return cpu_core_flags() | x86_sched_itmt_flags();
}
#endif
#ifdef CONFIG_SCHED_SMT
static int x86_smt_flags(void)
{
return cpu_smt_flags() | x86_sched_itmt_flags();
}
#endif
#ifdef CONFIG_SCHED_CLUSTER
static int x86_cluster_flags(void)
{
return cpu_cluster_flags() | x86_sched_itmt_flags();
}
#endif
#endif
static struct sched_domain_topology_level x86_numa_in_package_topology[] = {
x86, sched: Add new topology for multi-NUMA-node CPUs I'm getting the spew below when booting with Haswell (Xeon E5-2699 v3) CPUs and the "Cluster-on-Die" (CoD) feature enabled in the BIOS. It seems similar to the issue that some folks from AMD ran in to on their systems and addressed in this commit: 161270fc1f9d ("x86/smp: Fix topology checks on AMD MCM CPUs") Both these Intel and AMD systems break an assumption which is being enforced by topology_sane(): a socket may not contain more than one NUMA node. AMD special-cased their system by looking for a cpuid flag. The Intel mode is dependent on BIOS options and I do not know of a way which it is enumerated other than the tables being parsed during the CPU bringup process. In other words, we have to trust the ACPI tables <shudder>. This detects the situation where a NUMA node occurs at a place in the middle of the "CPU" sched domains. It replaces the default topology with one that relies on the NUMA information from the firmware (SRAT table) for all levels of sched domains above the hyperthreads. This also fixes a sysfs bug. We used to freak out when we saw the "mc" group cross a node boundary, so we stopped building the MC group. MC gets exported as the 'core_siblings_list' in /sys/devices/system/cpu/cpu*/topology/ and this caused CPUs with the same 'physical_package_id' to not be listed together in 'core_siblings_list'. This violates a statement from Documentation/ABI/testing/sysfs-devices-system-cpu: core_siblings: internal kernel map of cpu#'s hardware threads within the same physical_package_id. core_siblings_list: human-readable list of the logical CPU numbers within the same physical_package_id as cpu#. The sysfs effects here cause an issue with the hwloc tool where it gets confused and thinks there are more sockets than are physically present. Before this patch, there are two packages: # cd /sys/devices/system/cpu/ # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 But 4 _sets_ of core siblings: # cat cpu*/topology/core_siblings_list | sort | uniq -c 9 0-8 9 18-26 9 27-35 9 9-17 After this set, there are only 2 sets of core siblings, which is what we expect for a 2-socket system. # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 # cat cpu*/topology/core_siblings_list | sort | uniq -c 18 0-17 18 18-35 Example spew: ... NMI watchdog: enabled on all CPUs, permanently consumes one hw-PMU counter. #2 #3 #4 #5 #6 #7 #8 .... node #1, CPUs: #9 ------------[ cut here ]------------ WARNING: CPU: 9 PID: 0 at /home/ak/hle/linux-hle-2.6/arch/x86/kernel/smpboot.c:306 topology_sane.isra.2+0x74/0x90() sched: CPU #9's mc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. Modules linked in: CPU: 9 PID: 0 Comm: swapper/9 Not tainted 3.17.0-rc1-00293-g8e01c4d-dirty #631 Hardware name: Intel Corporation S2600WTT/S2600WTT, BIOS GRNDSDP1.86B.0036.R05.1407140519 07/14/2014 0000000000000009 ffff88046ddabe00 ffffffff8172e485 ffff88046ddabe48 ffff88046ddabe38 ffffffff8109691d 000000000000b001 0000000000000009 ffff88086fc12580 000000000000b020 0000000000000009 ffff88046ddabe98 Call Trace: [<ffffffff8172e485>] dump_stack+0x45/0x56 [<ffffffff8109691d>] warn_slowpath_common+0x7d/0xa0 [<ffffffff8109698c>] warn_slowpath_fmt+0x4c/0x50 [<ffffffff81074f94>] topology_sane.isra.2+0x74/0x90 [<ffffffff8107530e>] set_cpu_sibling_map+0x31e/0x4f0 [<ffffffff8107568d>] start_secondary+0x1ad/0x240 ---[ end trace 3fe5f587a9fcde61 ]--- #10 #11 #12 #13 #14 #15 #16 #17 .... node #2, CPUs: #18 #19 #20 #21 #22 #23 #24 #25 #26 .... node #3, CPUs: #27 #28 #29 #30 #31 #32 #33 #34 #35 Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com> [ Added LLC domain and s/match_mc/match_die/ ] Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: brice.goglin@gmail.com Cc: "H. Peter Anvin" <hpa@linux.intel.com> Link: http://lkml.kernel.org/r/20140918193334.C065EBCE@viggo.jf.intel.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-09-18 19:33:34 +00:00
#ifdef CONFIG_SCHED_SMT
{ cpu_smt_mask, x86_smt_flags, SD_INIT_NAME(SMT) },
x86, sched: Add new topology for multi-NUMA-node CPUs I'm getting the spew below when booting with Haswell (Xeon E5-2699 v3) CPUs and the "Cluster-on-Die" (CoD) feature enabled in the BIOS. It seems similar to the issue that some folks from AMD ran in to on their systems and addressed in this commit: 161270fc1f9d ("x86/smp: Fix topology checks on AMD MCM CPUs") Both these Intel and AMD systems break an assumption which is being enforced by topology_sane(): a socket may not contain more than one NUMA node. AMD special-cased their system by looking for a cpuid flag. The Intel mode is dependent on BIOS options and I do not know of a way which it is enumerated other than the tables being parsed during the CPU bringup process. In other words, we have to trust the ACPI tables <shudder>. This detects the situation where a NUMA node occurs at a place in the middle of the "CPU" sched domains. It replaces the default topology with one that relies on the NUMA information from the firmware (SRAT table) for all levels of sched domains above the hyperthreads. This also fixes a sysfs bug. We used to freak out when we saw the "mc" group cross a node boundary, so we stopped building the MC group. MC gets exported as the 'core_siblings_list' in /sys/devices/system/cpu/cpu*/topology/ and this caused CPUs with the same 'physical_package_id' to not be listed together in 'core_siblings_list'. This violates a statement from Documentation/ABI/testing/sysfs-devices-system-cpu: core_siblings: internal kernel map of cpu#'s hardware threads within the same physical_package_id. core_siblings_list: human-readable list of the logical CPU numbers within the same physical_package_id as cpu#. The sysfs effects here cause an issue with the hwloc tool where it gets confused and thinks there are more sockets than are physically present. Before this patch, there are two packages: # cd /sys/devices/system/cpu/ # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 But 4 _sets_ of core siblings: # cat cpu*/topology/core_siblings_list | sort | uniq -c 9 0-8 9 18-26 9 27-35 9 9-17 After this set, there are only 2 sets of core siblings, which is what we expect for a 2-socket system. # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 # cat cpu*/topology/core_siblings_list | sort | uniq -c 18 0-17 18 18-35 Example spew: ... NMI watchdog: enabled on all CPUs, permanently consumes one hw-PMU counter. #2 #3 #4 #5 #6 #7 #8 .... node #1, CPUs: #9 ------------[ cut here ]------------ WARNING: CPU: 9 PID: 0 at /home/ak/hle/linux-hle-2.6/arch/x86/kernel/smpboot.c:306 topology_sane.isra.2+0x74/0x90() sched: CPU #9's mc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. Modules linked in: CPU: 9 PID: 0 Comm: swapper/9 Not tainted 3.17.0-rc1-00293-g8e01c4d-dirty #631 Hardware name: Intel Corporation S2600WTT/S2600WTT, BIOS GRNDSDP1.86B.0036.R05.1407140519 07/14/2014 0000000000000009 ffff88046ddabe00 ffffffff8172e485 ffff88046ddabe48 ffff88046ddabe38 ffffffff8109691d 000000000000b001 0000000000000009 ffff88086fc12580 000000000000b020 0000000000000009 ffff88046ddabe98 Call Trace: [<ffffffff8172e485>] dump_stack+0x45/0x56 [<ffffffff8109691d>] warn_slowpath_common+0x7d/0xa0 [<ffffffff8109698c>] warn_slowpath_fmt+0x4c/0x50 [<ffffffff81074f94>] topology_sane.isra.2+0x74/0x90 [<ffffffff8107530e>] set_cpu_sibling_map+0x31e/0x4f0 [<ffffffff8107568d>] start_secondary+0x1ad/0x240 ---[ end trace 3fe5f587a9fcde61 ]--- #10 #11 #12 #13 #14 #15 #16 #17 .... node #2, CPUs: #18 #19 #20 #21 #22 #23 #24 #25 #26 .... node #3, CPUs: #27 #28 #29 #30 #31 #32 #33 #34 #35 Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com> [ Added LLC domain and s/match_mc/match_die/ ] Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: brice.goglin@gmail.com Cc: "H. Peter Anvin" <hpa@linux.intel.com> Link: http://lkml.kernel.org/r/20140918193334.C065EBCE@viggo.jf.intel.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-09-18 19:33:34 +00:00
#endif
#ifdef CONFIG_SCHED_CLUSTER
{ cpu_clustergroup_mask, x86_cluster_flags, SD_INIT_NAME(CLS) },
#endif
x86, sched: Add new topology for multi-NUMA-node CPUs I'm getting the spew below when booting with Haswell (Xeon E5-2699 v3) CPUs and the "Cluster-on-Die" (CoD) feature enabled in the BIOS. It seems similar to the issue that some folks from AMD ran in to on their systems and addressed in this commit: 161270fc1f9d ("x86/smp: Fix topology checks on AMD MCM CPUs") Both these Intel and AMD systems break an assumption which is being enforced by topology_sane(): a socket may not contain more than one NUMA node. AMD special-cased their system by looking for a cpuid flag. The Intel mode is dependent on BIOS options and I do not know of a way which it is enumerated other than the tables being parsed during the CPU bringup process. In other words, we have to trust the ACPI tables <shudder>. This detects the situation where a NUMA node occurs at a place in the middle of the "CPU" sched domains. It replaces the default topology with one that relies on the NUMA information from the firmware (SRAT table) for all levels of sched domains above the hyperthreads. This also fixes a sysfs bug. We used to freak out when we saw the "mc" group cross a node boundary, so we stopped building the MC group. MC gets exported as the 'core_siblings_list' in /sys/devices/system/cpu/cpu*/topology/ and this caused CPUs with the same 'physical_package_id' to not be listed together in 'core_siblings_list'. This violates a statement from Documentation/ABI/testing/sysfs-devices-system-cpu: core_siblings: internal kernel map of cpu#'s hardware threads within the same physical_package_id. core_siblings_list: human-readable list of the logical CPU numbers within the same physical_package_id as cpu#. The sysfs effects here cause an issue with the hwloc tool where it gets confused and thinks there are more sockets than are physically present. Before this patch, there are two packages: # cd /sys/devices/system/cpu/ # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 But 4 _sets_ of core siblings: # cat cpu*/topology/core_siblings_list | sort | uniq -c 9 0-8 9 18-26 9 27-35 9 9-17 After this set, there are only 2 sets of core siblings, which is what we expect for a 2-socket system. # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 # cat cpu*/topology/core_siblings_list | sort | uniq -c 18 0-17 18 18-35 Example spew: ... NMI watchdog: enabled on all CPUs, permanently consumes one hw-PMU counter. #2 #3 #4 #5 #6 #7 #8 .... node #1, CPUs: #9 ------------[ cut here ]------------ WARNING: CPU: 9 PID: 0 at /home/ak/hle/linux-hle-2.6/arch/x86/kernel/smpboot.c:306 topology_sane.isra.2+0x74/0x90() sched: CPU #9's mc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. Modules linked in: CPU: 9 PID: 0 Comm: swapper/9 Not tainted 3.17.0-rc1-00293-g8e01c4d-dirty #631 Hardware name: Intel Corporation S2600WTT/S2600WTT, BIOS GRNDSDP1.86B.0036.R05.1407140519 07/14/2014 0000000000000009 ffff88046ddabe00 ffffffff8172e485 ffff88046ddabe48 ffff88046ddabe38 ffffffff8109691d 000000000000b001 0000000000000009 ffff88086fc12580 000000000000b020 0000000000000009 ffff88046ddabe98 Call Trace: [<ffffffff8172e485>] dump_stack+0x45/0x56 [<ffffffff8109691d>] warn_slowpath_common+0x7d/0xa0 [<ffffffff8109698c>] warn_slowpath_fmt+0x4c/0x50 [<ffffffff81074f94>] topology_sane.isra.2+0x74/0x90 [<ffffffff8107530e>] set_cpu_sibling_map+0x31e/0x4f0 [<ffffffff8107568d>] start_secondary+0x1ad/0x240 ---[ end trace 3fe5f587a9fcde61 ]--- #10 #11 #12 #13 #14 #15 #16 #17 .... node #2, CPUs: #18 #19 #20 #21 #22 #23 #24 #25 #26 .... node #3, CPUs: #27 #28 #29 #30 #31 #32 #33 #34 #35 Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com> [ Added LLC domain and s/match_mc/match_die/ ] Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: brice.goglin@gmail.com Cc: "H. Peter Anvin" <hpa@linux.intel.com> Link: http://lkml.kernel.org/r/20140918193334.C065EBCE@viggo.jf.intel.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-09-18 19:33:34 +00:00
#ifdef CONFIG_SCHED_MC
{ cpu_coregroup_mask, x86_core_flags, SD_INIT_NAME(MC) },
x86, sched: Add new topology for multi-NUMA-node CPUs I'm getting the spew below when booting with Haswell (Xeon E5-2699 v3) CPUs and the "Cluster-on-Die" (CoD) feature enabled in the BIOS. It seems similar to the issue that some folks from AMD ran in to on their systems and addressed in this commit: 161270fc1f9d ("x86/smp: Fix topology checks on AMD MCM CPUs") Both these Intel and AMD systems break an assumption which is being enforced by topology_sane(): a socket may not contain more than one NUMA node. AMD special-cased their system by looking for a cpuid flag. The Intel mode is dependent on BIOS options and I do not know of a way which it is enumerated other than the tables being parsed during the CPU bringup process. In other words, we have to trust the ACPI tables <shudder>. This detects the situation where a NUMA node occurs at a place in the middle of the "CPU" sched domains. It replaces the default topology with one that relies on the NUMA information from the firmware (SRAT table) for all levels of sched domains above the hyperthreads. This also fixes a sysfs bug. We used to freak out when we saw the "mc" group cross a node boundary, so we stopped building the MC group. MC gets exported as the 'core_siblings_list' in /sys/devices/system/cpu/cpu*/topology/ and this caused CPUs with the same 'physical_package_id' to not be listed together in 'core_siblings_list'. This violates a statement from Documentation/ABI/testing/sysfs-devices-system-cpu: core_siblings: internal kernel map of cpu#'s hardware threads within the same physical_package_id. core_siblings_list: human-readable list of the logical CPU numbers within the same physical_package_id as cpu#. The sysfs effects here cause an issue with the hwloc tool where it gets confused and thinks there are more sockets than are physically present. Before this patch, there are two packages: # cd /sys/devices/system/cpu/ # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 But 4 _sets_ of core siblings: # cat cpu*/topology/core_siblings_list | sort | uniq -c 9 0-8 9 18-26 9 27-35 9 9-17 After this set, there are only 2 sets of core siblings, which is what we expect for a 2-socket system. # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 # cat cpu*/topology/core_siblings_list | sort | uniq -c 18 0-17 18 18-35 Example spew: ... NMI watchdog: enabled on all CPUs, permanently consumes one hw-PMU counter. #2 #3 #4 #5 #6 #7 #8 .... node #1, CPUs: #9 ------------[ cut here ]------------ WARNING: CPU: 9 PID: 0 at /home/ak/hle/linux-hle-2.6/arch/x86/kernel/smpboot.c:306 topology_sane.isra.2+0x74/0x90() sched: CPU #9's mc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. Modules linked in: CPU: 9 PID: 0 Comm: swapper/9 Not tainted 3.17.0-rc1-00293-g8e01c4d-dirty #631 Hardware name: Intel Corporation S2600WTT/S2600WTT, BIOS GRNDSDP1.86B.0036.R05.1407140519 07/14/2014 0000000000000009 ffff88046ddabe00 ffffffff8172e485 ffff88046ddabe48 ffff88046ddabe38 ffffffff8109691d 000000000000b001 0000000000000009 ffff88086fc12580 000000000000b020 0000000000000009 ffff88046ddabe98 Call Trace: [<ffffffff8172e485>] dump_stack+0x45/0x56 [<ffffffff8109691d>] warn_slowpath_common+0x7d/0xa0 [<ffffffff8109698c>] warn_slowpath_fmt+0x4c/0x50 [<ffffffff81074f94>] topology_sane.isra.2+0x74/0x90 [<ffffffff8107530e>] set_cpu_sibling_map+0x31e/0x4f0 [<ffffffff8107568d>] start_secondary+0x1ad/0x240 ---[ end trace 3fe5f587a9fcde61 ]--- #10 #11 #12 #13 #14 #15 #16 #17 .... node #2, CPUs: #18 #19 #20 #21 #22 #23 #24 #25 #26 .... node #3, CPUs: #27 #28 #29 #30 #31 #32 #33 #34 #35 Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com> [ Added LLC domain and s/match_mc/match_die/ ] Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: brice.goglin@gmail.com Cc: "H. Peter Anvin" <hpa@linux.intel.com> Link: http://lkml.kernel.org/r/20140918193334.C065EBCE@viggo.jf.intel.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-09-18 19:33:34 +00:00
#endif
{ NULL, },
};
static struct sched_domain_topology_level x86_hybrid_topology[] = {
#ifdef CONFIG_SCHED_SMT
{ cpu_smt_mask, x86_smt_flags, SD_INIT_NAME(SMT) },
#endif
#ifdef CONFIG_SCHED_MC
{ cpu_coregroup_mask, x86_core_flags, SD_INIT_NAME(MC) },
#endif
{ cpu_cpu_mask, SD_INIT_NAME(DIE) },
{ NULL, },
};
static struct sched_domain_topology_level x86_topology[] = {
#ifdef CONFIG_SCHED_SMT
{ cpu_smt_mask, x86_smt_flags, SD_INIT_NAME(SMT) },
#endif
#ifdef CONFIG_SCHED_CLUSTER
{ cpu_clustergroup_mask, x86_cluster_flags, SD_INIT_NAME(CLS) },
#endif
#ifdef CONFIG_SCHED_MC
{ cpu_coregroup_mask, x86_core_flags, SD_INIT_NAME(MC) },
#endif
{ cpu_cpu_mask, SD_INIT_NAME(DIE) },
{ NULL, },
};
x86, sched: Add new topology for multi-NUMA-node CPUs I'm getting the spew below when booting with Haswell (Xeon E5-2699 v3) CPUs and the "Cluster-on-Die" (CoD) feature enabled in the BIOS. It seems similar to the issue that some folks from AMD ran in to on their systems and addressed in this commit: 161270fc1f9d ("x86/smp: Fix topology checks on AMD MCM CPUs") Both these Intel and AMD systems break an assumption which is being enforced by topology_sane(): a socket may not contain more than one NUMA node. AMD special-cased their system by looking for a cpuid flag. The Intel mode is dependent on BIOS options and I do not know of a way which it is enumerated other than the tables being parsed during the CPU bringup process. In other words, we have to trust the ACPI tables <shudder>. This detects the situation where a NUMA node occurs at a place in the middle of the "CPU" sched domains. It replaces the default topology with one that relies on the NUMA information from the firmware (SRAT table) for all levels of sched domains above the hyperthreads. This also fixes a sysfs bug. We used to freak out when we saw the "mc" group cross a node boundary, so we stopped building the MC group. MC gets exported as the 'core_siblings_list' in /sys/devices/system/cpu/cpu*/topology/ and this caused CPUs with the same 'physical_package_id' to not be listed together in 'core_siblings_list'. This violates a statement from Documentation/ABI/testing/sysfs-devices-system-cpu: core_siblings: internal kernel map of cpu#'s hardware threads within the same physical_package_id. core_siblings_list: human-readable list of the logical CPU numbers within the same physical_package_id as cpu#. The sysfs effects here cause an issue with the hwloc tool where it gets confused and thinks there are more sockets than are physically present. Before this patch, there are two packages: # cd /sys/devices/system/cpu/ # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 But 4 _sets_ of core siblings: # cat cpu*/topology/core_siblings_list | sort | uniq -c 9 0-8 9 18-26 9 27-35 9 9-17 After this set, there are only 2 sets of core siblings, which is what we expect for a 2-socket system. # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 # cat cpu*/topology/core_siblings_list | sort | uniq -c 18 0-17 18 18-35 Example spew: ... NMI watchdog: enabled on all CPUs, permanently consumes one hw-PMU counter. #2 #3 #4 #5 #6 #7 #8 .... node #1, CPUs: #9 ------------[ cut here ]------------ WARNING: CPU: 9 PID: 0 at /home/ak/hle/linux-hle-2.6/arch/x86/kernel/smpboot.c:306 topology_sane.isra.2+0x74/0x90() sched: CPU #9's mc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. Modules linked in: CPU: 9 PID: 0 Comm: swapper/9 Not tainted 3.17.0-rc1-00293-g8e01c4d-dirty #631 Hardware name: Intel Corporation S2600WTT/S2600WTT, BIOS GRNDSDP1.86B.0036.R05.1407140519 07/14/2014 0000000000000009 ffff88046ddabe00 ffffffff8172e485 ffff88046ddabe48 ffff88046ddabe38 ffffffff8109691d 000000000000b001 0000000000000009 ffff88086fc12580 000000000000b020 0000000000000009 ffff88046ddabe98 Call Trace: [<ffffffff8172e485>] dump_stack+0x45/0x56 [<ffffffff8109691d>] warn_slowpath_common+0x7d/0xa0 [<ffffffff8109698c>] warn_slowpath_fmt+0x4c/0x50 [<ffffffff81074f94>] topology_sane.isra.2+0x74/0x90 [<ffffffff8107530e>] set_cpu_sibling_map+0x31e/0x4f0 [<ffffffff8107568d>] start_secondary+0x1ad/0x240 ---[ end trace 3fe5f587a9fcde61 ]--- #10 #11 #12 #13 #14 #15 #16 #17 .... node #2, CPUs: #18 #19 #20 #21 #22 #23 #24 #25 #26 .... node #3, CPUs: #27 #28 #29 #30 #31 #32 #33 #34 #35 Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com> [ Added LLC domain and s/match_mc/match_die/ ] Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: brice.goglin@gmail.com Cc: "H. Peter Anvin" <hpa@linux.intel.com> Link: http://lkml.kernel.org/r/20140918193334.C065EBCE@viggo.jf.intel.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-09-18 19:33:34 +00:00
/*
* Set if a package/die has multiple NUMA nodes inside.
x86,sched: Allow topologies where NUMA nodes share an LLC Intel's Skylake Server CPUs have a different LLC topology than previous generations. When in Sub-NUMA-Clustering (SNC) mode, the package is divided into two "slices", each containing half the cores, half the LLC, and one memory controller and each slice is enumerated to Linux as a NUMA node. This is similar to how the cores and LLC were arranged for the Cluster-On-Die (CoD) feature. CoD allowed the same cache line to be present in each half of the LLC. But, with SNC, each line is only ever present in *one* slice. This means that the portion of the LLC *available* to a CPU depends on the data being accessed: Remote socket: entire package LLC is shared Local socket->local slice: data goes into local slice LLC Local socket->remote slice: data goes into remote-slice LLC. Slightly higher latency than local slice LLC. The biggest implication from this is that a process accessing all NUMA-local memory only sees half the LLC capacity. The CPU describes its cache hierarchy with the CPUID instruction. One of the CPUID leaves enumerates the "logical processors sharing this cache". This information is used for scheduling decisions so that tasks move more freely between CPUs sharing the cache. But, the CPUID for the SNC configuration discussed above enumerates the LLC as being shared by the entire package. This is not 100% precise because the entire cache is not usable by all accesses. But, it *is* the way the hardware enumerates itself, and this is not likely to change. The userspace visible impact of all the above is that the sysfs info reports the entire LLC as being available to the entire package. As noted above, this is not true for local socket accesses. This patch does not correct the sysfs info. It is the same, pre and post patch. The current code emits the following warning: sched: CPU #3's llc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. The warning is coming from the topology_sane() check in smpboot.c because the topology is not matching the expectations of the model for obvious reasons. To fix this, add a vendor and model specific check to never call topology_sane() for these systems. Also, just like "Cluster-on-Die" disable the "coregroup" sched_domain_topology_level and use NUMA information from the SRAT alone. This is OK at least on the hardware we are immediately concerned about because the LLC sharing happens at both the slice and at the package level, which are also NUMA boundaries. Signed-off-by: Alison Schofield <alison.schofield@intel.com> Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Reviewed-by: Borislav Petkov <bp@suse.de> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: brice.goglin@gmail.com Cc: Dave Hansen <dave.hansen@linux.intel.com> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: "H. Peter Anvin" <hpa@linux.intel.com> Cc: Tim Chen <tim.c.chen@linux.intel.com> Link: https://lkml.kernel.org/r/20180407002130.GA18984@alison-desk.jf.intel.com
2018-04-07 00:21:30 +00:00
* AMD Magny-Cours, Intel Cluster-on-Die, and Intel
* Sub-NUMA Clustering have this.
x86, sched: Add new topology for multi-NUMA-node CPUs I'm getting the spew below when booting with Haswell (Xeon E5-2699 v3) CPUs and the "Cluster-on-Die" (CoD) feature enabled in the BIOS. It seems similar to the issue that some folks from AMD ran in to on their systems and addressed in this commit: 161270fc1f9d ("x86/smp: Fix topology checks on AMD MCM CPUs") Both these Intel and AMD systems break an assumption which is being enforced by topology_sane(): a socket may not contain more than one NUMA node. AMD special-cased their system by looking for a cpuid flag. The Intel mode is dependent on BIOS options and I do not know of a way which it is enumerated other than the tables being parsed during the CPU bringup process. In other words, we have to trust the ACPI tables <shudder>. This detects the situation where a NUMA node occurs at a place in the middle of the "CPU" sched domains. It replaces the default topology with one that relies on the NUMA information from the firmware (SRAT table) for all levels of sched domains above the hyperthreads. This also fixes a sysfs bug. We used to freak out when we saw the "mc" group cross a node boundary, so we stopped building the MC group. MC gets exported as the 'core_siblings_list' in /sys/devices/system/cpu/cpu*/topology/ and this caused CPUs with the same 'physical_package_id' to not be listed together in 'core_siblings_list'. This violates a statement from Documentation/ABI/testing/sysfs-devices-system-cpu: core_siblings: internal kernel map of cpu#'s hardware threads within the same physical_package_id. core_siblings_list: human-readable list of the logical CPU numbers within the same physical_package_id as cpu#. The sysfs effects here cause an issue with the hwloc tool where it gets confused and thinks there are more sockets than are physically present. Before this patch, there are two packages: # cd /sys/devices/system/cpu/ # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 But 4 _sets_ of core siblings: # cat cpu*/topology/core_siblings_list | sort | uniq -c 9 0-8 9 18-26 9 27-35 9 9-17 After this set, there are only 2 sets of core siblings, which is what we expect for a 2-socket system. # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 # cat cpu*/topology/core_siblings_list | sort | uniq -c 18 0-17 18 18-35 Example spew: ... NMI watchdog: enabled on all CPUs, permanently consumes one hw-PMU counter. #2 #3 #4 #5 #6 #7 #8 .... node #1, CPUs: #9 ------------[ cut here ]------------ WARNING: CPU: 9 PID: 0 at /home/ak/hle/linux-hle-2.6/arch/x86/kernel/smpboot.c:306 topology_sane.isra.2+0x74/0x90() sched: CPU #9's mc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. Modules linked in: CPU: 9 PID: 0 Comm: swapper/9 Not tainted 3.17.0-rc1-00293-g8e01c4d-dirty #631 Hardware name: Intel Corporation S2600WTT/S2600WTT, BIOS GRNDSDP1.86B.0036.R05.1407140519 07/14/2014 0000000000000009 ffff88046ddabe00 ffffffff8172e485 ffff88046ddabe48 ffff88046ddabe38 ffffffff8109691d 000000000000b001 0000000000000009 ffff88086fc12580 000000000000b020 0000000000000009 ffff88046ddabe98 Call Trace: [<ffffffff8172e485>] dump_stack+0x45/0x56 [<ffffffff8109691d>] warn_slowpath_common+0x7d/0xa0 [<ffffffff8109698c>] warn_slowpath_fmt+0x4c/0x50 [<ffffffff81074f94>] topology_sane.isra.2+0x74/0x90 [<ffffffff8107530e>] set_cpu_sibling_map+0x31e/0x4f0 [<ffffffff8107568d>] start_secondary+0x1ad/0x240 ---[ end trace 3fe5f587a9fcde61 ]--- #10 #11 #12 #13 #14 #15 #16 #17 .... node #2, CPUs: #18 #19 #20 #21 #22 #23 #24 #25 #26 .... node #3, CPUs: #27 #28 #29 #30 #31 #32 #33 #34 #35 Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com> [ Added LLC domain and s/match_mc/match_die/ ] Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: brice.goglin@gmail.com Cc: "H. Peter Anvin" <hpa@linux.intel.com> Link: http://lkml.kernel.org/r/20140918193334.C065EBCE@viggo.jf.intel.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-09-18 19:33:34 +00:00
*/
static bool x86_has_numa_in_package;
x86, sched: Add new topology for multi-NUMA-node CPUs I'm getting the spew below when booting with Haswell (Xeon E5-2699 v3) CPUs and the "Cluster-on-Die" (CoD) feature enabled in the BIOS. It seems similar to the issue that some folks from AMD ran in to on their systems and addressed in this commit: 161270fc1f9d ("x86/smp: Fix topology checks on AMD MCM CPUs") Both these Intel and AMD systems break an assumption which is being enforced by topology_sane(): a socket may not contain more than one NUMA node. AMD special-cased their system by looking for a cpuid flag. The Intel mode is dependent on BIOS options and I do not know of a way which it is enumerated other than the tables being parsed during the CPU bringup process. In other words, we have to trust the ACPI tables <shudder>. This detects the situation where a NUMA node occurs at a place in the middle of the "CPU" sched domains. It replaces the default topology with one that relies on the NUMA information from the firmware (SRAT table) for all levels of sched domains above the hyperthreads. This also fixes a sysfs bug. We used to freak out when we saw the "mc" group cross a node boundary, so we stopped building the MC group. MC gets exported as the 'core_siblings_list' in /sys/devices/system/cpu/cpu*/topology/ and this caused CPUs with the same 'physical_package_id' to not be listed together in 'core_siblings_list'. This violates a statement from Documentation/ABI/testing/sysfs-devices-system-cpu: core_siblings: internal kernel map of cpu#'s hardware threads within the same physical_package_id. core_siblings_list: human-readable list of the logical CPU numbers within the same physical_package_id as cpu#. The sysfs effects here cause an issue with the hwloc tool where it gets confused and thinks there are more sockets than are physically present. Before this patch, there are two packages: # cd /sys/devices/system/cpu/ # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 But 4 _sets_ of core siblings: # cat cpu*/topology/core_siblings_list | sort | uniq -c 9 0-8 9 18-26 9 27-35 9 9-17 After this set, there are only 2 sets of core siblings, which is what we expect for a 2-socket system. # cat cpu*/topology/physical_package_id | sort | uniq -c 18 0 18 1 # cat cpu*/topology/core_siblings_list | sort | uniq -c 18 0-17 18 18-35 Example spew: ... NMI watchdog: enabled on all CPUs, permanently consumes one hw-PMU counter. #2 #3 #4 #5 #6 #7 #8 .... node #1, CPUs: #9 ------------[ cut here ]------------ WARNING: CPU: 9 PID: 0 at /home/ak/hle/linux-hle-2.6/arch/x86/kernel/smpboot.c:306 topology_sane.isra.2+0x74/0x90() sched: CPU #9's mc-sibling CPU #0 is not on the same node! [node: 1 != 0]. Ignoring dependency. Modules linked in: CPU: 9 PID: 0 Comm: swapper/9 Not tainted 3.17.0-rc1-00293-g8e01c4d-dirty #631 Hardware name: Intel Corporation S2600WTT/S2600WTT, BIOS GRNDSDP1.86B.0036.R05.1407140519 07/14/2014 0000000000000009 ffff88046ddabe00 ffffffff8172e485 ffff88046ddabe48 ffff88046ddabe38 ffffffff8109691d 000000000000b001 0000000000000009 ffff88086fc12580 000000000000b020 0000000000000009 ffff88046ddabe98 Call Trace: [<ffffffff8172e485>] dump_stack+0x45/0x56 [<ffffffff8109691d>] warn_slowpath_common+0x7d/0xa0 [<ffffffff8109698c>] warn_slowpath_fmt+0x4c/0x50 [<ffffffff81074f94>] topology_sane.isra.2+0x74/0x90 [<ffffffff8107530e>] set_cpu_sibling_map+0x31e/0x4f0 [<ffffffff8107568d>] start_secondary+0x1ad/0x240 ---[ end trace 3fe5f587a9fcde61 ]--- #10 #11 #12 #13 #14 #15 #16 #17 .... node #2, CPUs: #18 #19 #20 #21 #22 #23 #24 #25 #26 .... node #3, CPUs: #27 #28 #29 #30 #31 #32 #33 #34 #35 Signed-off-by: Dave Hansen <dave.hansen@linux.intel.com> [ Added LLC domain and s/match_mc/match_die/ ] Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Cc: Borislav Petkov <bp@alien8.de> Cc: David Rientjes <rientjes@google.com> Cc: Igor Mammedov <imammedo@redhat.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Toshi Kani <toshi.kani@hp.com> Cc: brice.goglin@gmail.com Cc: "H. Peter Anvin" <hpa@linux.intel.com> Link: http://lkml.kernel.org/r/20140918193334.C065EBCE@viggo.jf.intel.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-09-18 19:33:34 +00:00
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
void set_cpu_sibling_map(int cpu)
{
bool has_smt = smp_num_siblings > 1;
bool has_mp = has_smt || boot_cpu_data.x86_max_cores > 1;
struct cpuinfo_x86 *c = &cpu_data(cpu);
struct cpuinfo_x86 *o;
int i, threads;
cpumask_set_cpu(cpu, cpu_sibling_setup_mask);
if (!has_mp) {
cpumask_set_cpu(cpu, topology_sibling_cpumask(cpu));
cpumask_set_cpu(cpu, cpu_llc_shared_mask(cpu));
cpumask_set_cpu(cpu, cpu_l2c_shared_mask(cpu));
cpumask_set_cpu(cpu, topology_core_cpumask(cpu));
cpumask_set_cpu(cpu, topology_die_cpumask(cpu));
c->booted_cores = 1;
return;
}
for_each_cpu(i, cpu_sibling_setup_mask) {
o = &cpu_data(i);
if (match_pkg(c, o) && !topology_same_node(c, o))
x86_has_numa_in_package = true;
if ((i == cpu) || (has_smt && match_smt(c, o)))
link_mask(topology_sibling_cpumask, cpu, i);
if ((i == cpu) || (has_mp && match_llc(c, o)))
link_mask(cpu_llc_shared_mask, cpu, i);
if ((i == cpu) || (has_mp && match_l2c(c, o)))
link_mask(cpu_l2c_shared_mask, cpu, i);
if ((i == cpu) || (has_mp && match_die(c, o)))
link_mask(topology_die_cpumask, cpu, i);
}
threads = cpumask_weight(topology_sibling_cpumask(cpu));
if (threads > __max_smt_threads)
__max_smt_threads = threads;
for_each_cpu(i, topology_sibling_cpumask(cpu))
cpu_data(i).smt_active = threads > 1;
/*
* This needs a separate iteration over the cpus because we rely on all
* topology_sibling_cpumask links to be set-up.
*/
for_each_cpu(i, cpu_sibling_setup_mask) {
o = &cpu_data(i);
if ((i == cpu) || (has_mp && match_pkg(c, o))) {
link_mask(topology_core_cpumask, cpu, i);
/*
* Does this new cpu bringup a new core?
*/
if (threads == 1) {
/*
* for each core in package, increment
* the booted_cores for this new cpu
*/
if (cpumask_first(
topology_sibling_cpumask(i)) == i)
c->booted_cores++;
/*
* increment the core count for all
* the other cpus in this package
*/
if (i != cpu)
cpu_data(i).booted_cores++;
} else if (i != cpu && !c->booted_cores)
c->booted_cores = cpu_data(i).booted_cores;
}
}
}
/* maps the cpu to the sched domain representing multi-core */
const struct cpumask *cpu_coregroup_mask(int cpu)
{
return cpu_llc_shared_mask(cpu);
}
const struct cpumask *cpu_clustergroup_mask(int cpu)
{
return cpu_l2c_shared_mask(cpu);
}
static void impress_friends(void)
{
int cpu;
unsigned long bogosum = 0;
/*
* Allow the user to impress friends.
*/
pr_debug("Before bogomips\n");
for_each_possible_cpu(cpu)
if (cpumask_test_cpu(cpu, cpu_callout_mask))
bogosum += cpu_data(cpu).loops_per_jiffy;
pr_info("Total of %d processors activated (%lu.%02lu BogoMIPS)\n",
num_online_cpus(),
bogosum/(500000/HZ),
(bogosum/(5000/HZ))%100);
pr_debug("Before bogocount - setting activated=1\n");
}
x86: fix wakeup_cpu with numaq/es7000, v2 Impact: fix secondary-CPU wakeup/init path with numaq and es7000 While looking at wakeup_secondary_cpu for WAKE_SECONDARY_VIA_NMI: |#ifdef WAKE_SECONDARY_VIA_NMI |/* | * Poke the other CPU in the eye via NMI to wake it up. Remember that the normal | * INIT, INIT, STARTUP sequence will reset the chip hard for us, and this | * won't ... remember to clear down the APIC, etc later. | */ |static int __devinit |wakeup_secondary_cpu(int logical_apicid, unsigned long start_eip) |{ | unsigned long send_status, accept_status = 0; | int maxlvt; |... | if (APIC_INTEGRATED(apic_version[phys_apicid])) { | maxlvt = lapic_get_maxlvt(); I noticed that there is no warning about undefined phys_apicid... because WAKE_SECONDARY_VIA_NMI and WAKE_SECONDARY_VIA_INIT can not be defined at the same time. So NUMAQ is using wrong wakeup_secondary_cpu. WAKE_SECONDARY_VIA_NMI, WAKE_SECONDARY_VIA_INIT and WAKE_SECONDARY_VIA_MIP are variants of a weird and fragile preprocessor-driven "HAL" mechanisms to specify the kind of secondary-CPU wakeup strategy a given x86 kernel will use. The vast majority of systems want to use INIT for secondary wakeup - NUMAQ uses an NMI, (old-style-) ES7000 uses 'MIP' (a firmware driven in-memory flag to let secondaries continue). So convert these mechanisms to x86_quirks and add a ->wakeup_secondary_cpu() method to specify the rare exception to the sane default. Extend genapic accordingly as well, for 32-bit. While looking further, I noticed that functions in wakecup.h for numaq and es7000 are different to the default in mach_wakecpu.h - but smpboot.c will only use default mach_wakecpu.h with smphook.h. So we need to add mach_wakecpu.h for mach_generic, to properly support numaq and es7000, and vectorize the following SMP init methods: int trampoline_phys_low; int trampoline_phys_high; void (*wait_for_init_deassert)(atomic_t *deassert); void (*smp_callin_clear_local_apic)(void); void (*store_NMI_vector)(unsigned short *high, unsigned short *low); void (*restore_NMI_vector)(unsigned short *high, unsigned short *low); void (*inquire_remote_apic)(int apicid); Signed-off-by: Yinghai Lu <yinghai@kernel.org> Signed-off-by: Ingo Molnar <mingo@elte.hu>
2008-11-16 11:12:49 +00:00
void __inquire_remote_apic(int apicid)
{
unsigned i, regs[] = { APIC_ID >> 4, APIC_LVR >> 4, APIC_SPIV >> 4 };
const char * const names[] = { "ID", "VERSION", "SPIV" };
int timeout;
u32 status;
pr_info("Inquiring remote APIC 0x%x...\n", apicid);
for (i = 0; i < ARRAY_SIZE(regs); i++) {
pr_info("... APIC 0x%x %s: ", apicid, names[i]);
/*
* Wait for idle.
*/
status = safe_apic_wait_icr_idle();
if (status)
pr_cont("a previous APIC delivery may have failed\n");
apic_icr_write(APIC_DM_REMRD | regs[i], apicid);
timeout = 0;
do {
udelay(100);
status = apic_read(APIC_ICR) & APIC_ICR_RR_MASK;
} while (status == APIC_ICR_RR_INPROG && timeout++ < 1000);
switch (status) {
case APIC_ICR_RR_VALID:
status = apic_read(APIC_RRR);
pr_cont("%08x\n", status);
break;
default:
pr_cont("failed\n");
}
}
}
/*
* The Multiprocessor Specification 1.4 (1997) example code suggests
* that there should be a 10ms delay between the BSP asserting INIT
* and de-asserting INIT, when starting a remote processor.
* But that slows boot and resume on modern processors, which include
* many cores and don't require that delay.
*
* Cmdline "init_cpu_udelay=" is available to over-ride this delay.
* Modern processor families are quirked to remove the delay entirely.
*/
#define UDELAY_10MS_DEFAULT 10000
static unsigned int init_udelay = UINT_MAX;
static int __init cpu_init_udelay(char *str)
{
get_option(&str, &init_udelay);
return 0;
}
early_param("cpu_init_udelay", cpu_init_udelay);
static void __init smp_quirk_init_udelay(void)
{
/* if cmdline changed it from default, leave it alone */
if (init_udelay != UINT_MAX)
return;
/* if modern processor, use no delay */
if (((boot_cpu_data.x86_vendor == X86_VENDOR_INTEL) && (boot_cpu_data.x86 == 6)) ||
((boot_cpu_data.x86_vendor == X86_VENDOR_HYGON) && (boot_cpu_data.x86 >= 0x18)) ||
((boot_cpu_data.x86_vendor == X86_VENDOR_AMD) && (boot_cpu_data.x86 >= 0xF))) {
init_udelay = 0;
return;
}
/* else, use legacy delay */
init_udelay = UDELAY_10MS_DEFAULT;
}
/*
* Poke the other CPU in the eye via NMI to wake it up. Remember that the normal
* INIT, INIT, STARTUP sequence will reset the chip hard for us, and this
* won't ... remember to clear down the APIC, etc later.
*/
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
int
wakeup_secondary_cpu_via_nmi(int apicid, unsigned long start_eip)
{
u32 dm = apic->dest_mode_logical ? APIC_DEST_LOGICAL : APIC_DEST_PHYSICAL;
unsigned long send_status, accept_status = 0;
int maxlvt;
/* Target chip */
/* Boot on the stack */
/* Kick the second */
apic_icr_write(APIC_DM_NMI | dm, apicid);
pr_debug("Waiting for send to finish...\n");
send_status = safe_apic_wait_icr_idle();
/*
* Give the other CPU some time to accept the IPI.
*/
udelay(200);
if (APIC_INTEGRATED(boot_cpu_apic_version)) {
maxlvt = lapic_get_maxlvt();
if (maxlvt > 3) /* Due to the Pentium erratum 3AP. */
apic_write(APIC_ESR, 0);
accept_status = (apic_read(APIC_ESR) & 0xEF);
}
pr_debug("NMI sent\n");
if (send_status)
pr_err("APIC never delivered???\n");
if (accept_status)
pr_err("APIC delivery error (%lx)\n", accept_status);
return (send_status | accept_status);
}
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
static int
x86: fix wakeup_cpu with numaq/es7000, v2 Impact: fix secondary-CPU wakeup/init path with numaq and es7000 While looking at wakeup_secondary_cpu for WAKE_SECONDARY_VIA_NMI: |#ifdef WAKE_SECONDARY_VIA_NMI |/* | * Poke the other CPU in the eye via NMI to wake it up. Remember that the normal | * INIT, INIT, STARTUP sequence will reset the chip hard for us, and this | * won't ... remember to clear down the APIC, etc later. | */ |static int __devinit |wakeup_secondary_cpu(int logical_apicid, unsigned long start_eip) |{ | unsigned long send_status, accept_status = 0; | int maxlvt; |... | if (APIC_INTEGRATED(apic_version[phys_apicid])) { | maxlvt = lapic_get_maxlvt(); I noticed that there is no warning about undefined phys_apicid... because WAKE_SECONDARY_VIA_NMI and WAKE_SECONDARY_VIA_INIT can not be defined at the same time. So NUMAQ is using wrong wakeup_secondary_cpu. WAKE_SECONDARY_VIA_NMI, WAKE_SECONDARY_VIA_INIT and WAKE_SECONDARY_VIA_MIP are variants of a weird and fragile preprocessor-driven "HAL" mechanisms to specify the kind of secondary-CPU wakeup strategy a given x86 kernel will use. The vast majority of systems want to use INIT for secondary wakeup - NUMAQ uses an NMI, (old-style-) ES7000 uses 'MIP' (a firmware driven in-memory flag to let secondaries continue). So convert these mechanisms to x86_quirks and add a ->wakeup_secondary_cpu() method to specify the rare exception to the sane default. Extend genapic accordingly as well, for 32-bit. While looking further, I noticed that functions in wakecup.h for numaq and es7000 are different to the default in mach_wakecpu.h - but smpboot.c will only use default mach_wakecpu.h with smphook.h. So we need to add mach_wakecpu.h for mach_generic, to properly support numaq and es7000, and vectorize the following SMP init methods: int trampoline_phys_low; int trampoline_phys_high; void (*wait_for_init_deassert)(atomic_t *deassert); void (*smp_callin_clear_local_apic)(void); void (*store_NMI_vector)(unsigned short *high, unsigned short *low); void (*restore_NMI_vector)(unsigned short *high, unsigned short *low); void (*inquire_remote_apic)(int apicid); Signed-off-by: Yinghai Lu <yinghai@kernel.org> Signed-off-by: Ingo Molnar <mingo@elte.hu>
2008-11-16 11:12:49 +00:00
wakeup_secondary_cpu_via_init(int phys_apicid, unsigned long start_eip)
{
x86/smpboot: Skip delays during SMP initialization similar to Xen Remove the per-CPU delays during SMP initialization, which seems to be possible on newer architectures with an x2APIC. Xen does this since 2011. In fact, this commit is basically a combination of the following Xen commits. The first removes the delays, the second fixes an issue with the removal: commit 68fce206f6dba9981e8322269db49692c95ce250 Author: Tim Deegan <Tim.Deegan@citrix.com> Date: Tue Jul 19 14:13:01 2011 +0100 x86: Remove timeouts from INIT-SIPI-SIPI sequence when using x2apic. Some of the timeouts are pointless since they're waiting for the ICR to ack the IPI delivery and that doesn't happen on x2apic. The others should be benign (and are suggested in the SDM) but removing them makes AP bringup much more reliable on some test boxes. Signed-off-by: Tim Deegan <Tim.Deegan@citrix.com> commit f12ee533150761df5a7099c83f2a5fa6c07d1187 Author: Gang Wei <gang.wei@intel.com> Date: Thu Dec 29 10:07:54 2011 +0000 X86: Add a delay between INIT & SIPIs for tboot AP bring-up in X2APIC case Without this delay, Xen could not bring APs up while working with TXT/tboot, because tboot needs some time in APs to handle INIT before becoming ready for receiving SIPIs (this delay was removed as part of c/s 23724 by Tim Deegan). Signed-off-by: Gang Wei <gang.wei@intel.com> Acked-by: Keir Fraser <keir@xen.org> Acked-by: Tim Deegan <tim@xen.org> Committed-by: Tim Deegan <tim@xen.org> Signed-off-by: Jan H. Schönherr <jschoenh@amazon.de> Cc: Anthony Liguori <aliguori@amazon.com> Cc: Borislav Petkov <bp@alien8.de> Cc: Gang Wei <gang.wei@intel.com> Cc: H. Peter Anvin <hpa@zytor.com> Cc: Len Brown <len.brown@intel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Tim Deegan <tim@xen.org> Link: http://lkml.kernel.org/r/1430732554-7294-1-git-send-email-jschoenh@amazon.de Signed-off-by: Ingo Molnar <mingo@kernel.org>
2015-05-04 09:42:34 +00:00
unsigned long send_status = 0, accept_status = 0;
int maxlvt, num_starts, j;
x86: APIC: remove apic_write_around(); use alternatives Use alternatives to select the workaround for the 11AP Pentium erratum for the affected steppings on the fly rather than build time. Remove the X86_GOOD_APIC configuration option and replace all the calls to apic_write_around() with plain apic_write(), protecting accesses to the ESR as appropriate due to the 3AP Pentium erratum. Remove apic_read_around() and all its invocations altogether as not needed. Remove apic_write_atomic() and all its implementing backends. The use of ASM_OUTPUT2() is not strictly needed for input constraints, but I have used it for readability's sake. I had the feeling no one else was brave enough to do it, so I went ahead and here it is. Verified by checking the generated assembly and tested with both a 32-bit and a 64-bit configuration, also with the 11AP "feature" forced on and verified with gdb on /proc/kcore to work as expected (as an 11AP machines are quite hard to get hands on these days). Some script complained about the use of "volatile", but apic_write() needs it for the same reason and is effectively a replacement for writel(), so I have disregarded it. I am not sure what the policy wrt defconfig files is, they are generated and there is risk of a conflict resulting from an unrelated change, so I have left changes to them out. The option will get removed from them at the next run. Some testing with machines other than mine will be needed to avoid some stupid mistake, but despite its volume, the change is not really that intrusive, so I am fairly confident that because it works for me, it will everywhere. Signed-off-by: Maciej W. Rozycki <macro@linux-mips.org> Signed-off-by: Ingo Molnar <mingo@elte.hu>
2008-07-16 18:15:30 +00:00
maxlvt = lapic_get_maxlvt();
/*
* Be paranoid about clearing APIC errors.
*/
if (APIC_INTEGRATED(boot_cpu_apic_version)) {
x86: APIC: remove apic_write_around(); use alternatives Use alternatives to select the workaround for the 11AP Pentium erratum for the affected steppings on the fly rather than build time. Remove the X86_GOOD_APIC configuration option and replace all the calls to apic_write_around() with plain apic_write(), protecting accesses to the ESR as appropriate due to the 3AP Pentium erratum. Remove apic_read_around() and all its invocations altogether as not needed. Remove apic_write_atomic() and all its implementing backends. The use of ASM_OUTPUT2() is not strictly needed for input constraints, but I have used it for readability's sake. I had the feeling no one else was brave enough to do it, so I went ahead and here it is. Verified by checking the generated assembly and tested with both a 32-bit and a 64-bit configuration, also with the 11AP "feature" forced on and verified with gdb on /proc/kcore to work as expected (as an 11AP machines are quite hard to get hands on these days). Some script complained about the use of "volatile", but apic_write() needs it for the same reason and is effectively a replacement for writel(), so I have disregarded it. I am not sure what the policy wrt defconfig files is, they are generated and there is risk of a conflict resulting from an unrelated change, so I have left changes to them out. The option will get removed from them at the next run. Some testing with machines other than mine will be needed to avoid some stupid mistake, but despite its volume, the change is not really that intrusive, so I am fairly confident that because it works for me, it will everywhere. Signed-off-by: Maciej W. Rozycki <macro@linux-mips.org> Signed-off-by: Ingo Molnar <mingo@elte.hu>
2008-07-16 18:15:30 +00:00
if (maxlvt > 3) /* Due to the Pentium erratum 3AP. */
apic_write(APIC_ESR, 0);
apic_read(APIC_ESR);
}
pr_debug("Asserting INIT\n");
/*
* Turn INIT on target chip
*/
/*
* Send IPI
*/
apic_icr_write(APIC_INT_LEVELTRIG | APIC_INT_ASSERT | APIC_DM_INIT,
phys_apicid);
pr_debug("Waiting for send to finish...\n");
send_status = safe_apic_wait_icr_idle();
x86/smp/boot: Fix legacy SMP bootup slow-boot bug So while testing kernels using tools/kvm/ (kvmtool) I noticed that it booted super slow: [ 0.142991] Performance Events: no PMU driver, software events only. [ 0.149265] x86: Booting SMP configuration: [ 0.149765] .... node #0, CPUs: #1 [ 0.148304] kvm-clock: cpu 1, msr 2:1bfe9041, secondary cpu clock [ 10.158813] KVM setup async PF for cpu 1 [ 10.159000] #2 [ 10.159000] kvm-stealtime: cpu 1, msr 211a4d400 [ 10.158829] kvm-clock: cpu 2, msr 2:1bfe9081, secondary cpu clock [ 20.167805] KVM setup async PF for cpu 2 [ 20.168000] #3 [ 20.168000] kvm-stealtime: cpu 2, msr 211a8d400 [ 20.167818] kvm-clock: cpu 3, msr 2:1bfe90c1, secondary cpu clock [ 30.176902] KVM setup async PF for cpu 3 [ 30.177000] #4 [ 30.177000] kvm-stealtime: cpu 3, msr 211acd400 One CPU booted up per 10 seconds. With 120 CPUs that takes a while. Bisection pinpointed this commit: 853b160aaafb ("Revert f5d6a52f5111 ("x86/smpboot: Skip delays during SMP initialization similar to Xen")") But that commit just restores previous behavior, so it cannot cause the problem. After some head scratching it turns out that these two commits: 1a744cb356c5 ("x86/smp/boot: Remove 10ms delay from cpu_up() on modern processors") d68921f9bd14 ("x86/smp/boot: Add cmdline "cpu_init_udelay=N" to specify cpu_up() delay") added the following code to smpboot.c: - mdelay(10); + mdelay(init_udelay); Note the mismatch in the units: the delay is called 'udelay' and is set to microseconds - while the function used here is actually 'mdelay', which counts in milliseconds ... So the delay for legacy systems is off by a factor of 1,000, so instead of 10 msecs we waited for 10 seconds ... The reason bisection pointed to 853b160aaafb was that 853b160aaafb removed a (broken) boot-time speedup patch, which masked the factor 1,000 bug. Fix it by using udelay(). This fixes my bootup problems. Cc: Len Brown <len.brown@intel.com> Cc: Alan Cox <alan@linux.intel.com> Cc: Arjan van de Ven <arjan@linux.intel.com> Cc: Borislav Petkov <bp@alien8.de> Cc: H. Peter Anvin <hpa@zytor.com> Cc: Jan H. Schönherr <jschoenh@amazon.de> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: linux-kernel@vger.kernel.org Signed-off-by: Ingo Molnar <mingo@kernel.org>
2015-05-18 10:05:13 +00:00
udelay(init_udelay);
pr_debug("Deasserting INIT\n");
/* Target chip */
/* Send IPI */
apic_icr_write(APIC_INT_LEVELTRIG | APIC_DM_INIT, phys_apicid);
pr_debug("Waiting for send to finish...\n");
send_status = safe_apic_wait_icr_idle();
mb();
/*
* Should we send STARTUP IPIs ?
*
* Determine this based on the APIC version.
* If we don't have an integrated APIC, don't send the STARTUP IPIs.
*/
if (APIC_INTEGRATED(boot_cpu_apic_version))
num_starts = 2;
else
num_starts = 0;
/*
* Run STARTUP IPI loop.
*/
pr_debug("#startup loops: %d\n", num_starts);
for (j = 1; j <= num_starts; j++) {
pr_debug("Sending STARTUP #%d\n", j);
x86: APIC: remove apic_write_around(); use alternatives Use alternatives to select the workaround for the 11AP Pentium erratum for the affected steppings on the fly rather than build time. Remove the X86_GOOD_APIC configuration option and replace all the calls to apic_write_around() with plain apic_write(), protecting accesses to the ESR as appropriate due to the 3AP Pentium erratum. Remove apic_read_around() and all its invocations altogether as not needed. Remove apic_write_atomic() and all its implementing backends. The use of ASM_OUTPUT2() is not strictly needed for input constraints, but I have used it for readability's sake. I had the feeling no one else was brave enough to do it, so I went ahead and here it is. Verified by checking the generated assembly and tested with both a 32-bit and a 64-bit configuration, also with the 11AP "feature" forced on and verified with gdb on /proc/kcore to work as expected (as an 11AP machines are quite hard to get hands on these days). Some script complained about the use of "volatile", but apic_write() needs it for the same reason and is effectively a replacement for writel(), so I have disregarded it. I am not sure what the policy wrt defconfig files is, they are generated and there is risk of a conflict resulting from an unrelated change, so I have left changes to them out. The option will get removed from them at the next run. Some testing with machines other than mine will be needed to avoid some stupid mistake, but despite its volume, the change is not really that intrusive, so I am fairly confident that because it works for me, it will everywhere. Signed-off-by: Maciej W. Rozycki <macro@linux-mips.org> Signed-off-by: Ingo Molnar <mingo@elte.hu>
2008-07-16 18:15:30 +00:00
if (maxlvt > 3) /* Due to the Pentium erratum 3AP. */
apic_write(APIC_ESR, 0);
apic_read(APIC_ESR);
pr_debug("After apic_write\n");
/*
* STARTUP IPI
*/
/* Target chip */
/* Boot on the stack */
/* Kick the second */
apic_icr_write(APIC_DM_STARTUP | (start_eip >> 12),
phys_apicid);
/*
* Give the other CPU some time to accept the IPI.
*/
if (init_udelay == 0)
udelay(10);
else
udelay(300);
pr_debug("Startup point 1\n");
pr_debug("Waiting for send to finish...\n");
send_status = safe_apic_wait_icr_idle();
/*
* Give the other CPU some time to accept the IPI.
*/
if (init_udelay == 0)
udelay(10);
else
udelay(200);
x86: APIC: remove apic_write_around(); use alternatives Use alternatives to select the workaround for the 11AP Pentium erratum for the affected steppings on the fly rather than build time. Remove the X86_GOOD_APIC configuration option and replace all the calls to apic_write_around() with plain apic_write(), protecting accesses to the ESR as appropriate due to the 3AP Pentium erratum. Remove apic_read_around() and all its invocations altogether as not needed. Remove apic_write_atomic() and all its implementing backends. The use of ASM_OUTPUT2() is not strictly needed for input constraints, but I have used it for readability's sake. I had the feeling no one else was brave enough to do it, so I went ahead and here it is. Verified by checking the generated assembly and tested with both a 32-bit and a 64-bit configuration, also with the 11AP "feature" forced on and verified with gdb on /proc/kcore to work as expected (as an 11AP machines are quite hard to get hands on these days). Some script complained about the use of "volatile", but apic_write() needs it for the same reason and is effectively a replacement for writel(), so I have disregarded it. I am not sure what the policy wrt defconfig files is, they are generated and there is risk of a conflict resulting from an unrelated change, so I have left changes to them out. The option will get removed from them at the next run. Some testing with machines other than mine will be needed to avoid some stupid mistake, but despite its volume, the change is not really that intrusive, so I am fairly confident that because it works for me, it will everywhere. Signed-off-by: Maciej W. Rozycki <macro@linux-mips.org> Signed-off-by: Ingo Molnar <mingo@elte.hu>
2008-07-16 18:15:30 +00:00
if (maxlvt > 3) /* Due to the Pentium erratum 3AP. */
apic_write(APIC_ESR, 0);
accept_status = (apic_read(APIC_ESR) & 0xEF);
if (send_status || accept_status)
break;
}
pr_debug("After Startup\n");
if (send_status)
pr_err("APIC never delivered???\n");
if (accept_status)
pr_err("APIC delivery error (%lx)\n", accept_status);
return (send_status | accept_status);
}
x86: Limit the number of processor bootup messages When there are a large number of processors in a system, there is an excessive amount of messages sent to the system console. It's estimated that with 4096 processors in a system, and the console baudrate set to 56K, the startup messages will take about 84 minutes to clear the serial port. This set of patches limits the number of repetitious messages which contain no additional information. Much of this information is obtainable from the /proc and /sysfs. Some of the messages are also sent to the kernel log buffer as KERN_DEBUG messages so dmesg can be used to examine more closely any details specific to a problem. The new cpu bootup sequence for system_state == SYSTEM_BOOTING: Booting Node 0, Processors #1 #2 #3 #4 #5 #6 #7 Ok. Booting Node 1, Processors #8 #9 #10 #11 #12 #13 #14 #15 Ok. ... Booting Node 3, Processors #56 #57 #58 #59 #60 #61 #62 #63 Ok. Brought up 64 CPUs After the system is running, a single line boot message is displayed when CPU's are hotplugged on: Booting Node %d Processor %d APIC 0x%x Status of the following lines: CPU: Physical Processor ID: printed once (for boot cpu) CPU: Processor Core ID: printed once (for boot cpu) CPU: Hyper-Threading is disabled printed once (for boot cpu) CPU: Thermal monitoring enabled printed once (for boot cpu) CPU %d/0x%x -> Node %d: removed CPU %d is now offline: only if system_state == RUNNING Initializing CPU#%d: KERN_DEBUG Signed-off-by: Mike Travis <travis@sgi.com> LKML-Reference: <4B219E28.8080601@sgi.com> Signed-off-by: H. Peter Anvin <hpa@zytor.com>
2009-12-11 01:19:36 +00:00
/* reduce the number of lines printed when booting a large cpu count system */
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
static void announce_cpu(int cpu, int apicid)
x86: Limit the number of processor bootup messages When there are a large number of processors in a system, there is an excessive amount of messages sent to the system console. It's estimated that with 4096 processors in a system, and the console baudrate set to 56K, the startup messages will take about 84 minutes to clear the serial port. This set of patches limits the number of repetitious messages which contain no additional information. Much of this information is obtainable from the /proc and /sysfs. Some of the messages are also sent to the kernel log buffer as KERN_DEBUG messages so dmesg can be used to examine more closely any details specific to a problem. The new cpu bootup sequence for system_state == SYSTEM_BOOTING: Booting Node 0, Processors #1 #2 #3 #4 #5 #6 #7 Ok. Booting Node 1, Processors #8 #9 #10 #11 #12 #13 #14 #15 Ok. ... Booting Node 3, Processors #56 #57 #58 #59 #60 #61 #62 #63 Ok. Brought up 64 CPUs After the system is running, a single line boot message is displayed when CPU's are hotplugged on: Booting Node %d Processor %d APIC 0x%x Status of the following lines: CPU: Physical Processor ID: printed once (for boot cpu) CPU: Processor Core ID: printed once (for boot cpu) CPU: Hyper-Threading is disabled printed once (for boot cpu) CPU: Thermal monitoring enabled printed once (for boot cpu) CPU %d/0x%x -> Node %d: removed CPU %d is now offline: only if system_state == RUNNING Initializing CPU#%d: KERN_DEBUG Signed-off-by: Mike Travis <travis@sgi.com> LKML-Reference: <4B219E28.8080601@sgi.com> Signed-off-by: H. Peter Anvin <hpa@zytor.com>
2009-12-11 01:19:36 +00:00
{
mm: replace all open encodings for NUMA_NO_NODE Patch series "Replace all open encodings for NUMA_NO_NODE", v3. All these places for replacement were found by running the following grep patterns on the entire kernel code. Please let me know if this might have missed some instances. This might also have replaced some false positives. I will appreciate suggestions, inputs and review. 1. git grep "nid == -1" 2. git grep "node == -1" 3. git grep "nid = -1" 4. git grep "node = -1" This patch (of 2): At present there are multiple places where invalid node number is encoded as -1. Even though implicitly understood it is always better to have macros in there. Replace these open encodings for an invalid node number with the global macro NUMA_NO_NODE. This helps remove NUMA related assumptions like 'invalid node' from various places redirecting them to a common definition. Link: http://lkml.kernel.org/r/1545127933-10711-2-git-send-email-anshuman.khandual@arm.com Signed-off-by: Anshuman Khandual <anshuman.khandual@arm.com> Reviewed-by: David Hildenbrand <david@redhat.com> Acked-by: Jeff Kirsher <jeffrey.t.kirsher@intel.com> [ixgbe] Acked-by: Jens Axboe <axboe@kernel.dk> [mtip32xx] Acked-by: Vinod Koul <vkoul@kernel.org> [dmaengine.c] Acked-by: Michael Ellerman <mpe@ellerman.id.au> [powerpc] Acked-by: Doug Ledford <dledford@redhat.com> [drivers/infiniband] Cc: Joseph Qi <jiangqi903@gmail.com> Cc: Hans Verkuil <hverkuil@xs4all.nl> Cc: Stephen Rothwell <sfr@canb.auug.org.au> Signed-off-by: Andrew Morton <akpm@linux-foundation.org> Signed-off-by: Linus Torvalds <torvalds@linux-foundation.org>
2019-03-05 23:42:58 +00:00
static int current_node = NUMA_NO_NODE;
int node = early_cpu_to_node(cpu);
x86/boot: Further compress CPUs bootup message Turn it into (for example): [ 0.073380] x86: Booting SMP configuration: [ 0.074005] .... node #0, CPUs: #1 #2 #3 #4 #5 #6 #7 [ 0.603005] .... node #1, CPUs: #8 #9 #10 #11 #12 #13 #14 #15 [ 1.200005] .... node #2, CPUs: #16 #17 #18 #19 #20 #21 #22 #23 [ 1.796005] .... node #3, CPUs: #24 #25 #26 #27 #28 #29 #30 #31 [ 2.393005] .... node #4, CPUs: #32 #33 #34 #35 #36 #37 #38 #39 [ 2.996005] .... node #5, CPUs: #40 #41 #42 #43 #44 #45 #46 #47 [ 3.600005] .... node #6, CPUs: #48 #49 #50 #51 #52 #53 #54 #55 [ 4.202005] .... node #7, CPUs: #56 #57 #58 #59 #60 #61 #62 #63 [ 4.811005] .... node #8, CPUs: #64 #65 #66 #67 #68 #69 #70 #71 [ 5.421006] .... node #9, CPUs: #72 #73 #74 #75 #76 #77 #78 #79 [ 6.032005] .... node #10, CPUs: #80 #81 #82 #83 #84 #85 #86 #87 [ 6.648006] .... node #11, CPUs: #88 #89 #90 #91 #92 #93 #94 #95 [ 7.262005] .... node #12, CPUs: #96 #97 #98 #99 #100 #101 #102 #103 [ 7.865005] .... node #13, CPUs: #104 #105 #106 #107 #108 #109 #110 #111 [ 8.466005] .... node #14, CPUs: #112 #113 #114 #115 #116 #117 #118 #119 [ 9.073006] .... node #15, CPUs: #120 #121 #122 #123 #124 #125 #126 #127 [ 9.679901] x86: Booted up 16 nodes, 128 CPUs and drop useless elements. Change num_digits() to hpa's division-avoiding, cell-phone-typed version which he went at great lengths and pains to submit on a Saturday evening. Signed-off-by: Borislav Petkov <bp@suse.de> Cc: huawei.libin@huawei.com Cc: wangyijing@huawei.com Cc: fenghua.yu@intel.com Cc: guohanjun@huawei.com Cc: paul.gortmaker@windriver.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Peter Zijlstra <a.p.zijlstra@chello.nl> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/20130930095624.GB16383@pd.tnic Signed-off-by: Ingo Molnar <mingo@kernel.org>
2013-09-30 09:56:24 +00:00
static int width, node_width;
2013-09-27 14:35:54 +00:00
if (!width)
width = num_digits(num_possible_cpus()) + 1; /* + '#' sign */
x86: Limit the number of processor bootup messages When there are a large number of processors in a system, there is an excessive amount of messages sent to the system console. It's estimated that with 4096 processors in a system, and the console baudrate set to 56K, the startup messages will take about 84 minutes to clear the serial port. This set of patches limits the number of repetitious messages which contain no additional information. Much of this information is obtainable from the /proc and /sysfs. Some of the messages are also sent to the kernel log buffer as KERN_DEBUG messages so dmesg can be used to examine more closely any details specific to a problem. The new cpu bootup sequence for system_state == SYSTEM_BOOTING: Booting Node 0, Processors #1 #2 #3 #4 #5 #6 #7 Ok. Booting Node 1, Processors #8 #9 #10 #11 #12 #13 #14 #15 Ok. ... Booting Node 3, Processors #56 #57 #58 #59 #60 #61 #62 #63 Ok. Brought up 64 CPUs After the system is running, a single line boot message is displayed when CPU's are hotplugged on: Booting Node %d Processor %d APIC 0x%x Status of the following lines: CPU: Physical Processor ID: printed once (for boot cpu) CPU: Processor Core ID: printed once (for boot cpu) CPU: Hyper-Threading is disabled printed once (for boot cpu) CPU: Thermal monitoring enabled printed once (for boot cpu) CPU %d/0x%x -> Node %d: removed CPU %d is now offline: only if system_state == RUNNING Initializing CPU#%d: KERN_DEBUG Signed-off-by: Mike Travis <travis@sgi.com> LKML-Reference: <4B219E28.8080601@sgi.com> Signed-off-by: H. Peter Anvin <hpa@zytor.com>
2009-12-11 01:19:36 +00:00
x86/boot: Further compress CPUs bootup message Turn it into (for example): [ 0.073380] x86: Booting SMP configuration: [ 0.074005] .... node #0, CPUs: #1 #2 #3 #4 #5 #6 #7 [ 0.603005] .... node #1, CPUs: #8 #9 #10 #11 #12 #13 #14 #15 [ 1.200005] .... node #2, CPUs: #16 #17 #18 #19 #20 #21 #22 #23 [ 1.796005] .... node #3, CPUs: #24 #25 #26 #27 #28 #29 #30 #31 [ 2.393005] .... node #4, CPUs: #32 #33 #34 #35 #36 #37 #38 #39 [ 2.996005] .... node #5, CPUs: #40 #41 #42 #43 #44 #45 #46 #47 [ 3.600005] .... node #6, CPUs: #48 #49 #50 #51 #52 #53 #54 #55 [ 4.202005] .... node #7, CPUs: #56 #57 #58 #59 #60 #61 #62 #63 [ 4.811005] .... node #8, CPUs: #64 #65 #66 #67 #68 #69 #70 #71 [ 5.421006] .... node #9, CPUs: #72 #73 #74 #75 #76 #77 #78 #79 [ 6.032005] .... node #10, CPUs: #80 #81 #82 #83 #84 #85 #86 #87 [ 6.648006] .... node #11, CPUs: #88 #89 #90 #91 #92 #93 #94 #95 [ 7.262005] .... node #12, CPUs: #96 #97 #98 #99 #100 #101 #102 #103 [ 7.865005] .... node #13, CPUs: #104 #105 #106 #107 #108 #109 #110 #111 [ 8.466005] .... node #14, CPUs: #112 #113 #114 #115 #116 #117 #118 #119 [ 9.073006] .... node #15, CPUs: #120 #121 #122 #123 #124 #125 #126 #127 [ 9.679901] x86: Booted up 16 nodes, 128 CPUs and drop useless elements. Change num_digits() to hpa's division-avoiding, cell-phone-typed version which he went at great lengths and pains to submit on a Saturday evening. Signed-off-by: Borislav Petkov <bp@suse.de> Cc: huawei.libin@huawei.com Cc: wangyijing@huawei.com Cc: fenghua.yu@intel.com Cc: guohanjun@huawei.com Cc: paul.gortmaker@windriver.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Peter Zijlstra <a.p.zijlstra@chello.nl> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/20130930095624.GB16383@pd.tnic Signed-off-by: Ingo Molnar <mingo@kernel.org>
2013-09-30 09:56:24 +00:00
if (!node_width)
node_width = num_digits(num_possible_nodes()) + 1; /* + '#' */
if (cpu == 1)
printk(KERN_INFO "x86: Booting SMP configuration:\n");
if (system_state < SYSTEM_RUNNING) {
x86: Limit the number of processor bootup messages When there are a large number of processors in a system, there is an excessive amount of messages sent to the system console. It's estimated that with 4096 processors in a system, and the console baudrate set to 56K, the startup messages will take about 84 minutes to clear the serial port. This set of patches limits the number of repetitious messages which contain no additional information. Much of this information is obtainable from the /proc and /sysfs. Some of the messages are also sent to the kernel log buffer as KERN_DEBUG messages so dmesg can be used to examine more closely any details specific to a problem. The new cpu bootup sequence for system_state == SYSTEM_BOOTING: Booting Node 0, Processors #1 #2 #3 #4 #5 #6 #7 Ok. Booting Node 1, Processors #8 #9 #10 #11 #12 #13 #14 #15 Ok. ... Booting Node 3, Processors #56 #57 #58 #59 #60 #61 #62 #63 Ok. Brought up 64 CPUs After the system is running, a single line boot message is displayed when CPU's are hotplugged on: Booting Node %d Processor %d APIC 0x%x Status of the following lines: CPU: Physical Processor ID: printed once (for boot cpu) CPU: Processor Core ID: printed once (for boot cpu) CPU: Hyper-Threading is disabled printed once (for boot cpu) CPU: Thermal monitoring enabled printed once (for boot cpu) CPU %d/0x%x -> Node %d: removed CPU %d is now offline: only if system_state == RUNNING Initializing CPU#%d: KERN_DEBUG Signed-off-by: Mike Travis <travis@sgi.com> LKML-Reference: <4B219E28.8080601@sgi.com> Signed-off-by: H. Peter Anvin <hpa@zytor.com>
2009-12-11 01:19:36 +00:00
if (node != current_node) {
if (current_node > (-1))
x86/boot: Further compress CPUs bootup message Turn it into (for example): [ 0.073380] x86: Booting SMP configuration: [ 0.074005] .... node #0, CPUs: #1 #2 #3 #4 #5 #6 #7 [ 0.603005] .... node #1, CPUs: #8 #9 #10 #11 #12 #13 #14 #15 [ 1.200005] .... node #2, CPUs: #16 #17 #18 #19 #20 #21 #22 #23 [ 1.796005] .... node #3, CPUs: #24 #25 #26 #27 #28 #29 #30 #31 [ 2.393005] .... node #4, CPUs: #32 #33 #34 #35 #36 #37 #38 #39 [ 2.996005] .... node #5, CPUs: #40 #41 #42 #43 #44 #45 #46 #47 [ 3.600005] .... node #6, CPUs: #48 #49 #50 #51 #52 #53 #54 #55 [ 4.202005] .... node #7, CPUs: #56 #57 #58 #59 #60 #61 #62 #63 [ 4.811005] .... node #8, CPUs: #64 #65 #66 #67 #68 #69 #70 #71 [ 5.421006] .... node #9, CPUs: #72 #73 #74 #75 #76 #77 #78 #79 [ 6.032005] .... node #10, CPUs: #80 #81 #82 #83 #84 #85 #86 #87 [ 6.648006] .... node #11, CPUs: #88 #89 #90 #91 #92 #93 #94 #95 [ 7.262005] .... node #12, CPUs: #96 #97 #98 #99 #100 #101 #102 #103 [ 7.865005] .... node #13, CPUs: #104 #105 #106 #107 #108 #109 #110 #111 [ 8.466005] .... node #14, CPUs: #112 #113 #114 #115 #116 #117 #118 #119 [ 9.073006] .... node #15, CPUs: #120 #121 #122 #123 #124 #125 #126 #127 [ 9.679901] x86: Booted up 16 nodes, 128 CPUs and drop useless elements. Change num_digits() to hpa's division-avoiding, cell-phone-typed version which he went at great lengths and pains to submit on a Saturday evening. Signed-off-by: Borislav Petkov <bp@suse.de> Cc: huawei.libin@huawei.com Cc: wangyijing@huawei.com Cc: fenghua.yu@intel.com Cc: guohanjun@huawei.com Cc: paul.gortmaker@windriver.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Peter Zijlstra <a.p.zijlstra@chello.nl> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/20130930095624.GB16383@pd.tnic Signed-off-by: Ingo Molnar <mingo@kernel.org>
2013-09-30 09:56:24 +00:00
pr_cont("\n");
x86: Limit the number of processor bootup messages When there are a large number of processors in a system, there is an excessive amount of messages sent to the system console. It's estimated that with 4096 processors in a system, and the console baudrate set to 56K, the startup messages will take about 84 minutes to clear the serial port. This set of patches limits the number of repetitious messages which contain no additional information. Much of this information is obtainable from the /proc and /sysfs. Some of the messages are also sent to the kernel log buffer as KERN_DEBUG messages so dmesg can be used to examine more closely any details specific to a problem. The new cpu bootup sequence for system_state == SYSTEM_BOOTING: Booting Node 0, Processors #1 #2 #3 #4 #5 #6 #7 Ok. Booting Node 1, Processors #8 #9 #10 #11 #12 #13 #14 #15 Ok. ... Booting Node 3, Processors #56 #57 #58 #59 #60 #61 #62 #63 Ok. Brought up 64 CPUs After the system is running, a single line boot message is displayed when CPU's are hotplugged on: Booting Node %d Processor %d APIC 0x%x Status of the following lines: CPU: Physical Processor ID: printed once (for boot cpu) CPU: Processor Core ID: printed once (for boot cpu) CPU: Hyper-Threading is disabled printed once (for boot cpu) CPU: Thermal monitoring enabled printed once (for boot cpu) CPU %d/0x%x -> Node %d: removed CPU %d is now offline: only if system_state == RUNNING Initializing CPU#%d: KERN_DEBUG Signed-off-by: Mike Travis <travis@sgi.com> LKML-Reference: <4B219E28.8080601@sgi.com> Signed-off-by: H. Peter Anvin <hpa@zytor.com>
2009-12-11 01:19:36 +00:00
current_node = node;
x86/boot: Further compress CPUs bootup message Turn it into (for example): [ 0.073380] x86: Booting SMP configuration: [ 0.074005] .... node #0, CPUs: #1 #2 #3 #4 #5 #6 #7 [ 0.603005] .... node #1, CPUs: #8 #9 #10 #11 #12 #13 #14 #15 [ 1.200005] .... node #2, CPUs: #16 #17 #18 #19 #20 #21 #22 #23 [ 1.796005] .... node #3, CPUs: #24 #25 #26 #27 #28 #29 #30 #31 [ 2.393005] .... node #4, CPUs: #32 #33 #34 #35 #36 #37 #38 #39 [ 2.996005] .... node #5, CPUs: #40 #41 #42 #43 #44 #45 #46 #47 [ 3.600005] .... node #6, CPUs: #48 #49 #50 #51 #52 #53 #54 #55 [ 4.202005] .... node #7, CPUs: #56 #57 #58 #59 #60 #61 #62 #63 [ 4.811005] .... node #8, CPUs: #64 #65 #66 #67 #68 #69 #70 #71 [ 5.421006] .... node #9, CPUs: #72 #73 #74 #75 #76 #77 #78 #79 [ 6.032005] .... node #10, CPUs: #80 #81 #82 #83 #84 #85 #86 #87 [ 6.648006] .... node #11, CPUs: #88 #89 #90 #91 #92 #93 #94 #95 [ 7.262005] .... node #12, CPUs: #96 #97 #98 #99 #100 #101 #102 #103 [ 7.865005] .... node #13, CPUs: #104 #105 #106 #107 #108 #109 #110 #111 [ 8.466005] .... node #14, CPUs: #112 #113 #114 #115 #116 #117 #118 #119 [ 9.073006] .... node #15, CPUs: #120 #121 #122 #123 #124 #125 #126 #127 [ 9.679901] x86: Booted up 16 nodes, 128 CPUs and drop useless elements. Change num_digits() to hpa's division-avoiding, cell-phone-typed version which he went at great lengths and pains to submit on a Saturday evening. Signed-off-by: Borislav Petkov <bp@suse.de> Cc: huawei.libin@huawei.com Cc: wangyijing@huawei.com Cc: fenghua.yu@intel.com Cc: guohanjun@huawei.com Cc: paul.gortmaker@windriver.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Peter Zijlstra <a.p.zijlstra@chello.nl> Cc: Thomas Gleixner <tglx@linutronix.de> Link: http://lkml.kernel.org/r/20130930095624.GB16383@pd.tnic Signed-off-by: Ingo Molnar <mingo@kernel.org>
2013-09-30 09:56:24 +00:00
printk(KERN_INFO ".... node %*s#%d, CPUs: ",
node_width - num_digits(node), " ", node);
x86: Limit the number of processor bootup messages When there are a large number of processors in a system, there is an excessive amount of messages sent to the system console. It's estimated that with 4096 processors in a system, and the console baudrate set to 56K, the startup messages will take about 84 minutes to clear the serial port. This set of patches limits the number of repetitious messages which contain no additional information. Much of this information is obtainable from the /proc and /sysfs. Some of the messages are also sent to the kernel log buffer as KERN_DEBUG messages so dmesg can be used to examine more closely any details specific to a problem. The new cpu bootup sequence for system_state == SYSTEM_BOOTING: Booting Node 0, Processors #1 #2 #3 #4 #5 #6 #7 Ok. Booting Node 1, Processors #8 #9 #10 #11 #12 #13 #14 #15 Ok. ... Booting Node 3, Processors #56 #57 #58 #59 #60 #61 #62 #63 Ok. Brought up 64 CPUs After the system is running, a single line boot message is displayed when CPU's are hotplugged on: Booting Node %d Processor %d APIC 0x%x Status of the following lines: CPU: Physical Processor ID: printed once (for boot cpu) CPU: Processor Core ID: printed once (for boot cpu) CPU: Hyper-Threading is disabled printed once (for boot cpu) CPU: Thermal monitoring enabled printed once (for boot cpu) CPU %d/0x%x -> Node %d: removed CPU %d is now offline: only if system_state == RUNNING Initializing CPU#%d: KERN_DEBUG Signed-off-by: Mike Travis <travis@sgi.com> LKML-Reference: <4B219E28.8080601@sgi.com> Signed-off-by: H. Peter Anvin <hpa@zytor.com>
2009-12-11 01:19:36 +00:00
}
2013-09-27 14:35:54 +00:00
/* Add padding for the BSP */
if (cpu == 1)
pr_cont("%*s", width + 1, " ");
pr_cont("%*s#%d", width - num_digits(cpu), " ", cpu);
x86: Limit the number of processor bootup messages When there are a large number of processors in a system, there is an excessive amount of messages sent to the system console. It's estimated that with 4096 processors in a system, and the console baudrate set to 56K, the startup messages will take about 84 minutes to clear the serial port. This set of patches limits the number of repetitious messages which contain no additional information. Much of this information is obtainable from the /proc and /sysfs. Some of the messages are also sent to the kernel log buffer as KERN_DEBUG messages so dmesg can be used to examine more closely any details specific to a problem. The new cpu bootup sequence for system_state == SYSTEM_BOOTING: Booting Node 0, Processors #1 #2 #3 #4 #5 #6 #7 Ok. Booting Node 1, Processors #8 #9 #10 #11 #12 #13 #14 #15 Ok. ... Booting Node 3, Processors #56 #57 #58 #59 #60 #61 #62 #63 Ok. Brought up 64 CPUs After the system is running, a single line boot message is displayed when CPU's are hotplugged on: Booting Node %d Processor %d APIC 0x%x Status of the following lines: CPU: Physical Processor ID: printed once (for boot cpu) CPU: Processor Core ID: printed once (for boot cpu) CPU: Hyper-Threading is disabled printed once (for boot cpu) CPU: Thermal monitoring enabled printed once (for boot cpu) CPU %d/0x%x -> Node %d: removed CPU %d is now offline: only if system_state == RUNNING Initializing CPU#%d: KERN_DEBUG Signed-off-by: Mike Travis <travis@sgi.com> LKML-Reference: <4B219E28.8080601@sgi.com> Signed-off-by: H. Peter Anvin <hpa@zytor.com>
2009-12-11 01:19:36 +00:00
} else
pr_info("Booting Node %d Processor %d APIC 0x%x\n",
node, cpu, apicid);
}
static int wakeup_cpu0_nmi(unsigned int cmd, struct pt_regs *regs)
{
int cpu;
cpu = smp_processor_id();
if (cpu == 0 && !cpu_online(cpu) && enable_start_cpu0)
return NMI_HANDLED;
return NMI_DONE;
}
/*
* Wake up AP by INIT, INIT, STARTUP sequence.
*
* Instead of waiting for STARTUP after INITs, BSP will execute the BIOS
* boot-strap code which is not a desired behavior for waking up BSP. To
* void the boot-strap code, wake up CPU0 by NMI instead.
*
* This works to wake up soft offlined CPU0 only. If CPU0 is hard offlined
* (i.e. physically hot removed and then hot added), NMI won't wake it up.
* We'll change this code in the future to wake up hard offlined CPU0 if
* real platform and request are available.
*/
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
static int
wakeup_cpu_via_init_nmi(int cpu, unsigned long start_ip, int apicid,
int *cpu0_nmi_registered)
{
int id;
int boot_error;
preempt_disable();
/*
* Wake up AP by INIT, INIT, STARTUP sequence.
*/
if (cpu) {
boot_error = wakeup_secondary_cpu_via_init(apicid, start_ip);
goto out;
}
/*
* Wake up BSP by nmi.
*
* Register a NMI handler to help wake up CPU0.
*/
boot_error = register_nmi_handler(NMI_LOCAL,
wakeup_cpu0_nmi, 0, "wake_cpu0");
if (!boot_error) {
enable_start_cpu0 = 1;
*cpu0_nmi_registered = 1;
id = apic->dest_mode_logical ? cpu0_logical_apicid : apicid;
boot_error = wakeup_secondary_cpu_via_nmi(id, start_ip);
}
out:
preempt_enable();
return boot_error;
}
x86/irq/32: Handle irq stack allocation failure proper irq_ctx_init() crashes hard on page allocation failures. While that's ok during early boot, it's just wrong in the CPU hotplug bringup code. Check the page allocation failure and return -ENOMEM and handle it at the call sites. On early boot the only way out is to BUG(), but on CPU hotplug there is no reason to crash, so just abort the operation. Rename the function to something more sensible while at it. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Borislav Petkov <bp@suse.de> Cc: Alison Schofield <alison.schofield@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@kernel.org> Cc: Anshuman Khandual <anshuman.khandual@arm.com> Cc: Boris Ostrovsky <boris.ostrovsky@oracle.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: Ingo Molnar <mingo@redhat.com> Cc: Josh Poimboeuf <jpoimboe@redhat.com> Cc: Juergen Gross <jgross@suse.com> Cc: Konrad Rzeszutek Wilk <konrad.wilk@oracle.com> Cc: Nicolai Stange <nstange@suse.de> Cc: Pu Wen <puwen@hygon.cn> Cc: Sean Christopherson <sean.j.christopherson@intel.com> Cc: Shaokun Zhang <zhangshaokun@hisilicon.com> Cc: Stefano Stabellini <sstabellini@kernel.org> Cc: Suravee Suthikulpanit <suravee.suthikulpanit@amd.com> Cc: x86-ml <x86@kernel.org> Cc: xen-devel@lists.xenproject.org Cc: Yazen Ghannam <yazen.ghannam@amd.com> Cc: Yi Wang <wang.yi59@zte.com.cn> Cc: Zhenzhong Duan <zhenzhong.duan@oracle.com> Link: https://lkml.kernel.org/r/20190414160146.089060584@linutronix.de
2019-04-14 16:00:04 +00:00
int common_cpu_up(unsigned int cpu, struct task_struct *idle)
{
x86/irq/32: Handle irq stack allocation failure proper irq_ctx_init() crashes hard on page allocation failures. While that's ok during early boot, it's just wrong in the CPU hotplug bringup code. Check the page allocation failure and return -ENOMEM and handle it at the call sites. On early boot the only way out is to BUG(), but on CPU hotplug there is no reason to crash, so just abort the operation. Rename the function to something more sensible while at it. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Borislav Petkov <bp@suse.de> Cc: Alison Schofield <alison.schofield@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@kernel.org> Cc: Anshuman Khandual <anshuman.khandual@arm.com> Cc: Boris Ostrovsky <boris.ostrovsky@oracle.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: Ingo Molnar <mingo@redhat.com> Cc: Josh Poimboeuf <jpoimboe@redhat.com> Cc: Juergen Gross <jgross@suse.com> Cc: Konrad Rzeszutek Wilk <konrad.wilk@oracle.com> Cc: Nicolai Stange <nstange@suse.de> Cc: Pu Wen <puwen@hygon.cn> Cc: Sean Christopherson <sean.j.christopherson@intel.com> Cc: Shaokun Zhang <zhangshaokun@hisilicon.com> Cc: Stefano Stabellini <sstabellini@kernel.org> Cc: Suravee Suthikulpanit <suravee.suthikulpanit@amd.com> Cc: x86-ml <x86@kernel.org> Cc: xen-devel@lists.xenproject.org Cc: Yazen Ghannam <yazen.ghannam@amd.com> Cc: Yi Wang <wang.yi59@zte.com.cn> Cc: Zhenzhong Duan <zhenzhong.duan@oracle.com> Link: https://lkml.kernel.org/r/20190414160146.089060584@linutronix.de
2019-04-14 16:00:04 +00:00
int ret;
/* Just in case we booted with a single CPU. */
alternatives_enable_smp();
per_cpu(current_task, cpu) = idle;
cpu_init_stack_canary(cpu, idle);
x86/irq/32: Handle irq stack allocation failure proper irq_ctx_init() crashes hard on page allocation failures. While that's ok during early boot, it's just wrong in the CPU hotplug bringup code. Check the page allocation failure and return -ENOMEM and handle it at the call sites. On early boot the only way out is to BUG(), but on CPU hotplug there is no reason to crash, so just abort the operation. Rename the function to something more sensible while at it. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Borislav Petkov <bp@suse.de> Cc: Alison Schofield <alison.schofield@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@kernel.org> Cc: Anshuman Khandual <anshuman.khandual@arm.com> Cc: Boris Ostrovsky <boris.ostrovsky@oracle.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: Ingo Molnar <mingo@redhat.com> Cc: Josh Poimboeuf <jpoimboe@redhat.com> Cc: Juergen Gross <jgross@suse.com> Cc: Konrad Rzeszutek Wilk <konrad.wilk@oracle.com> Cc: Nicolai Stange <nstange@suse.de> Cc: Pu Wen <puwen@hygon.cn> Cc: Sean Christopherson <sean.j.christopherson@intel.com> Cc: Shaokun Zhang <zhangshaokun@hisilicon.com> Cc: Stefano Stabellini <sstabellini@kernel.org> Cc: Suravee Suthikulpanit <suravee.suthikulpanit@amd.com> Cc: x86-ml <x86@kernel.org> Cc: xen-devel@lists.xenproject.org Cc: Yazen Ghannam <yazen.ghannam@amd.com> Cc: Yi Wang <wang.yi59@zte.com.cn> Cc: Zhenzhong Duan <zhenzhong.duan@oracle.com> Link: https://lkml.kernel.org/r/20190414160146.089060584@linutronix.de
2019-04-14 16:00:04 +00:00
/* Initialize the interrupt stack(s) */
ret = irq_init_percpu_irqstack(cpu);
if (ret)
return ret;
#ifdef CONFIG_X86_32
/* Stack for startup_32 can be just as for start_secondary onwards */
per_cpu(cpu_current_top_of_stack, cpu) = task_top_of_stack(idle);
#else
initial_gs = per_cpu_offset(cpu);
#endif
x86/irq/32: Handle irq stack allocation failure proper irq_ctx_init() crashes hard on page allocation failures. While that's ok during early boot, it's just wrong in the CPU hotplug bringup code. Check the page allocation failure and return -ENOMEM and handle it at the call sites. On early boot the only way out is to BUG(), but on CPU hotplug there is no reason to crash, so just abort the operation. Rename the function to something more sensible while at it. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Borislav Petkov <bp@suse.de> Cc: Alison Schofield <alison.schofield@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@kernel.org> Cc: Anshuman Khandual <anshuman.khandual@arm.com> Cc: Boris Ostrovsky <boris.ostrovsky@oracle.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: Ingo Molnar <mingo@redhat.com> Cc: Josh Poimboeuf <jpoimboe@redhat.com> Cc: Juergen Gross <jgross@suse.com> Cc: Konrad Rzeszutek Wilk <konrad.wilk@oracle.com> Cc: Nicolai Stange <nstange@suse.de> Cc: Pu Wen <puwen@hygon.cn> Cc: Sean Christopherson <sean.j.christopherson@intel.com> Cc: Shaokun Zhang <zhangshaokun@hisilicon.com> Cc: Stefano Stabellini <sstabellini@kernel.org> Cc: Suravee Suthikulpanit <suravee.suthikulpanit@amd.com> Cc: x86-ml <x86@kernel.org> Cc: xen-devel@lists.xenproject.org Cc: Yazen Ghannam <yazen.ghannam@amd.com> Cc: Yi Wang <wang.yi59@zte.com.cn> Cc: Zhenzhong Duan <zhenzhong.duan@oracle.com> Link: https://lkml.kernel.org/r/20190414160146.089060584@linutronix.de
2019-04-14 16:00:04 +00:00
return 0;
}
/*
* NOTE - on most systems this is a PHYSICAL apic ID, but on multiquad
* (ie clustered apic addressing mode), this is a LOGICAL apic ID.
* Returns zero if CPU booted OK, else error code from
* ->wakeup_secondary_cpu.
*/
static int do_boot_cpu(int apicid, int cpu, struct task_struct *idle,
int *cpu0_nmi_registered)
{
/* start_ip had better be page-aligned! */
unsigned long start_ip = real_mode_header->trampoline_start;
unsigned long boot_error = 0;
unsigned long timeout;
idle->thread.sp = (unsigned long)task_pt_regs(idle);
x86: Remap GDT tables in the fixmap section Each processor holds a GDT in its per-cpu structure. The sgdt instruction gives the base address of the current GDT. This address can be used to bypass KASLR memory randomization. With another bug, an attacker could target other per-cpu structures or deduce the base of the main memory section (PAGE_OFFSET). This patch relocates the GDT table for each processor inside the fixmap section. The space is reserved based on number of supported processors. For consistency, the remapping is done by default on 32 and 64-bit. Each processor switches to its remapped GDT at the end of initialization. For hibernation, the main processor returns with the original GDT and switches back to the remapping at completion. This patch was tested on both architectures. Hibernation and KVM were both tested specially for their usage of the GDT. Thanks to Boris Ostrovsky <boris.ostrovsky@oracle.com> for testing and recommending changes for Xen support. Signed-off-by: Thomas Garnier <thgarnie@google.com> Cc: Alexander Potapenko <glider@google.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andrey Ryabinin <aryabinin@virtuozzo.com> Cc: Andy Lutomirski <luto@kernel.org> Cc: Ard Biesheuvel <ard.biesheuvel@linaro.org> Cc: Boris Ostrovsky <boris.ostrovsky@oracle.com> Cc: Borislav Petkov <bp@suse.de> Cc: Chris Wilson <chris@chris-wilson.co.uk> Cc: Christian Borntraeger <borntraeger@de.ibm.com> Cc: Dmitry Vyukov <dvyukov@google.com> Cc: Frederic Weisbecker <fweisbec@gmail.com> Cc: Jiri Kosina <jikos@kernel.org> Cc: Joerg Roedel <joro@8bytes.org> Cc: Jonathan Corbet <corbet@lwn.net> Cc: Josh Poimboeuf <jpoimboe@redhat.com> Cc: Juergen Gross <jgross@suse.com> Cc: Kees Cook <keescook@chromium.org> Cc: Len Brown <len.brown@intel.com> Cc: Linus Torvalds <torvalds@linux-foundation.org> Cc: Lorenzo Stoakes <lstoakes@gmail.com> Cc: Luis R . Rodriguez <mcgrof@kernel.org> Cc: Matt Fleming <matt@codeblueprint.co.uk> Cc: Michal Hocko <mhocko@suse.com> Cc: Paolo Bonzini <pbonzini@redhat.com> Cc: Paul Gortmaker <paul.gortmaker@windriver.com> Cc: Pavel Machek <pavel@ucw.cz> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Radim Krčmář <rkrcmar@redhat.com> Cc: Rafael J . Wysocki <rjw@rjwysocki.net> Cc: Rusty Russell <rusty@rustcorp.com.au> Cc: Stanislaw Gruszka <sgruszka@redhat.com> Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Tim Chen <tim.c.chen@linux.intel.com> Cc: Vitaly Kuznetsov <vkuznets@redhat.com> Cc: kasan-dev@googlegroups.com Cc: kernel-hardening@lists.openwall.com Cc: kvm@vger.kernel.org Cc: lguest@lists.ozlabs.org Cc: linux-doc@vger.kernel.org Cc: linux-efi@vger.kernel.org Cc: linux-mm@kvack.org Cc: linux-pm@vger.kernel.org Cc: xen-devel@lists.xenproject.org Cc: zijun_hu <zijun_hu@htc.com> Link: http://lkml.kernel.org/r/20170314170508.100882-2-thgarnie@google.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2017-03-14 17:05:07 +00:00
early_gdt_descr.address = (unsigned long)get_cpu_gdt_rw(cpu);
initial_code = (unsigned long)start_secondary;
initial_stack = idle->thread.sp;
/* Enable the espfix hack for this CPU */
init_espfix_ap(cpu);
x86: Limit the number of processor bootup messages When there are a large number of processors in a system, there is an excessive amount of messages sent to the system console. It's estimated that with 4096 processors in a system, and the console baudrate set to 56K, the startup messages will take about 84 minutes to clear the serial port. This set of patches limits the number of repetitious messages which contain no additional information. Much of this information is obtainable from the /proc and /sysfs. Some of the messages are also sent to the kernel log buffer as KERN_DEBUG messages so dmesg can be used to examine more closely any details specific to a problem. The new cpu bootup sequence for system_state == SYSTEM_BOOTING: Booting Node 0, Processors #1 #2 #3 #4 #5 #6 #7 Ok. Booting Node 1, Processors #8 #9 #10 #11 #12 #13 #14 #15 Ok. ... Booting Node 3, Processors #56 #57 #58 #59 #60 #61 #62 #63 Ok. Brought up 64 CPUs After the system is running, a single line boot message is displayed when CPU's are hotplugged on: Booting Node %d Processor %d APIC 0x%x Status of the following lines: CPU: Physical Processor ID: printed once (for boot cpu) CPU: Processor Core ID: printed once (for boot cpu) CPU: Hyper-Threading is disabled printed once (for boot cpu) CPU: Thermal monitoring enabled printed once (for boot cpu) CPU %d/0x%x -> Node %d: removed CPU %d is now offline: only if system_state == RUNNING Initializing CPU#%d: KERN_DEBUG Signed-off-by: Mike Travis <travis@sgi.com> LKML-Reference: <4B219E28.8080601@sgi.com> Signed-off-by: H. Peter Anvin <hpa@zytor.com>
2009-12-11 01:19:36 +00:00
/* So we see what's up */
announce_cpu(cpu, apicid);
/*
* This grunge runs the startup process for
* the targeted processor.
*/
if (x86_platform.legacy.warm_reset) {
pr_debug("Setting warm reset code and vector.\n");
smpboot_setup_warm_reset_vector(start_ip);
/*
* Be paranoid about clearing APIC errors.
*/
if (APIC_INTEGRATED(boot_cpu_apic_version)) {
apic_write(APIC_ESR, 0);
apic_read(APIC_ESR);
}
}
/*
* AP might wait on cpu_callout_mask in cpu_init() with
* cpu_initialized_mask set if previous attempt to online
* it timed-out. Clear cpu_initialized_mask so that after
* INIT/SIPI it could start with a clean state.
*/
cpumask_clear_cpu(cpu, cpu_initialized_mask);
smp_mb();
/*
* Wake up a CPU in difference cases:
* - Use the method in the APIC driver if it's defined
* Otherwise,
* - Use an INIT boot APIC message for APs or NMI for BSP.
*/
if (apic->wakeup_secondary_cpu)
boot_error = apic->wakeup_secondary_cpu(apicid, start_ip);
else
boot_error = wakeup_cpu_via_init_nmi(cpu, start_ip, apicid,
cpu0_nmi_registered);
if (!boot_error) {
/*
* Wait 10s total for first sign of life from AP
*/
boot_error = -1;
timeout = jiffies + 10*HZ;
while (time_before(jiffies, timeout)) {
if (cpumask_test_cpu(cpu, cpu_initialized_mask)) {
/*
* Tell AP to proceed with initialization
*/
cpumask_set_cpu(cpu, cpu_callout_mask);
boot_error = 0;
break;
}
schedule();
}
}
if (!boot_error) {
/*
* Wait till AP completes initial initialization
*/
while (!cpumask_test_cpu(cpu, cpu_callin_mask)) {
x86, mtrr: Use stop machine context to rendezvous all the cpu's Use the stop machine context rather than IPI's to rendezvous all the cpus for MTRR initialization that happens during cpu bringup or for MTRR modifications during runtime. This avoids deadlock scenario (reported by Prarit) like: cpu A holds a read_lock (tasklist_lock for example) with irqs enabled cpu B waits for the same lock with irqs disabled using write_lock_irq cpu C doing set_mtrr() (during AP bringup for example), which will try to rendezvous all the cpus using IPI's This will result in C and A come to the rendezvous point and waiting for B. B is stuck forever waiting for the lock and thus not reaching the rendezvous point. Using stop cpu (run in the process context of per cpu based keventd) to do this rendezvous, avoids this deadlock scenario. Also make sure all the cpu's are in the rendezvous handler before we proceed with the local_irq_save() on each cpu. This lock step disabling irqs on all the cpus will avoid other deadlock scenarios (for example involving with the blocking smp_call_function's etc). [ This problem is very old. Marking -stable only for 2.6.35 as the stop_one_cpu_nowait() API is present only in 2.6.35. Any older kernel interested in this fix need to do some more work in backporting this patch. ] Reported-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Suresh Siddha <suresh.b.siddha@intel.com> LKML-Reference: <1280515602.2682.10.camel@sbsiddha-MOBL3.sc.intel.com> Acked-by: Prarit Bhargava <prarit@redhat.com> Cc: stable@kernel.org [2.6.35] Signed-off-by: H. Peter Anvin <hpa@linux.intel.com>
2010-07-30 18:46:42 +00:00
/*
* Allow other tasks to run while we wait for the
* AP to come online. This also gives a chance
* for the MTRR work(triggered by the AP coming online)
* to be completed in the stop machine context.
*/
schedule();
}
}
if (x86_platform.legacy.warm_reset) {
/*
* Cleanup possible dangling ends...
*/
smpboot_restore_warm_reset_vector();
}
return boot_error;
}
x86: delete __cpuinit usage from all x86 files The __cpuinit type of throwaway sections might have made sense some time ago when RAM was more constrained, but now the savings do not offset the cost and complications. For example, the fix in commit 5e427ec2d0 ("x86: Fix bit corruption at CPU resume time") is a good example of the nasty type of bugs that can be created with improper use of the various __init prefixes. After a discussion on LKML[1] it was decided that cpuinit should go the way of devinit and be phased out. Once all the users are gone, we can then finally remove the macros themselves from linux/init.h. Note that some harmless section mismatch warnings may result, since notify_cpu_starting() and cpu_up() are arch independent (kernel/cpu.c) are flagged as __cpuinit -- so if we remove the __cpuinit from arch specific callers, we will also get section mismatch warnings. As an intermediate step, we intend to turn the linux/init.h cpuinit content into no-ops as early as possible, since that will get rid of these warnings. In any case, they are temporary and harmless. This removes all the arch/x86 uses of the __cpuinit macros from all C files. x86 only had the one __CPUINIT used in assembly files, and it wasn't paired off with a .previous or a __FINIT, so we can delete it directly w/o any corresponding additional change there. [1] https://lkml.org/lkml/2013/5/20/589 Cc: Thomas Gleixner <tglx@linutronix.de> Cc: Ingo Molnar <mingo@redhat.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: x86@kernel.org Acked-by: Ingo Molnar <mingo@kernel.org> Acked-by: Thomas Gleixner <tglx@linutronix.de> Acked-by: H. Peter Anvin <hpa@linux.intel.com> Signed-off-by: Paul Gortmaker <paul.gortmaker@windriver.com>
2013-06-18 22:23:59 +00:00
int native_cpu_up(unsigned int cpu, struct task_struct *tidle)
{
int apicid = apic->cpu_present_to_apicid(cpu);
int cpu0_nmi_registered = 0;
unsigned long flags;
int err, ret = 0;
lockdep_assert_irqs_enabled();
pr_debug("++++++++++++++++++++=_---CPU UP %u\n", cpu);
if (apicid == BAD_APICID ||
!physid_isset(apicid, phys_cpu_present_map) ||
!apic->apic_id_valid(apicid)) {
pr_err("%s: bad cpu %d\n", __func__, cpu);
return -EINVAL;
}
/*
* Already booted CPU?
*/
if (cpumask_test_cpu(cpu, cpu_callin_mask)) {
pr_debug("do_boot_cpu %d Already started\n", cpu);
return -ENOSYS;
}
/*
* Save current MTRR state in case it was changed since early boot
* (e.g. by the ACPI SMI) to initialize new CPUs with MTRRs in sync:
*/
mtrr_save_state();
/* x86 CPUs take themselves offline, so delayed offline is OK. */
err = cpu_check_up_prepare(cpu);
if (err && err != -EBUSY)
return err;
/* the FPU context is blank, nobody can own it */
per_cpu(fpu_fpregs_owner_ctx, cpu) = NULL;
x86/irq/32: Handle irq stack allocation failure proper irq_ctx_init() crashes hard on page allocation failures. While that's ok during early boot, it's just wrong in the CPU hotplug bringup code. Check the page allocation failure and return -ENOMEM and handle it at the call sites. On early boot the only way out is to BUG(), but on CPU hotplug there is no reason to crash, so just abort the operation. Rename the function to something more sensible while at it. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Borislav Petkov <bp@suse.de> Cc: Alison Schofield <alison.schofield@intel.com> Cc: Andrew Morton <akpm@linux-foundation.org> Cc: Andy Lutomirski <luto@kernel.org> Cc: Anshuman Khandual <anshuman.khandual@arm.com> Cc: Boris Ostrovsky <boris.ostrovsky@oracle.com> Cc: "H. Peter Anvin" <hpa@zytor.com> Cc: Ingo Molnar <mingo@redhat.com> Cc: Josh Poimboeuf <jpoimboe@redhat.com> Cc: Juergen Gross <jgross@suse.com> Cc: Konrad Rzeszutek Wilk <konrad.wilk@oracle.com> Cc: Nicolai Stange <nstange@suse.de> Cc: Pu Wen <puwen@hygon.cn> Cc: Sean Christopherson <sean.j.christopherson@intel.com> Cc: Shaokun Zhang <zhangshaokun@hisilicon.com> Cc: Stefano Stabellini <sstabellini@kernel.org> Cc: Suravee Suthikulpanit <suravee.suthikulpanit@amd.com> Cc: x86-ml <x86@kernel.org> Cc: xen-devel@lists.xenproject.org Cc: Yazen Ghannam <yazen.ghannam@amd.com> Cc: Yi Wang <wang.yi59@zte.com.cn> Cc: Zhenzhong Duan <zhenzhong.duan@oracle.com> Link: https://lkml.kernel.org/r/20190414160146.089060584@linutronix.de
2019-04-14 16:00:04 +00:00
err = common_cpu_up(cpu, tidle);
if (err)
return err;
err = do_boot_cpu(apicid, cpu, tidle, &cpu0_nmi_registered);
x86: fix app crashes after SMP resume After resume on a 2cpu laptop, kernel builds collapse with a sed hang, sh or make segfault (often on 20295564), real-time signal to cc1 etc. Several hurdles to jump, but a manually-assisted bisect led to -rc1's d2bcbad5f3ad38a1c09861bca7e252dde7bb8259 x86: do not zap_low_mappings in __smp_prepare_cpus. Though the low mappings were removed at bootup, they were left behind (with Global flags helping to keep them in TLB) after resume or cpu online, causing the crashes seen. Reinstate zap_low_mappings (with local __flush_tlb_all) for each cpu_up on x86_32. This used to be serialized by smp_commenced_mask: that's now gone, but a low_mappings flag will do. No need for native_smp_cpus_done to repeat the zap: let mem_init zap BSP's low mappings just like on UP. (In passing, fix error code from native_cpu_up: do_boot_cpu returns a variety of diagnostic values, Dprintk what it says but convert to -EIO. And save_pg_dir separately before zap_low_mappings: doesn't matter now, but zapping twice in succession wiped out resume's swsusp_pg_dir.) That worked well on the duo and one quad, but wouldn't boot 3rd or 4th cpu on P4 Xeon, oopsing just after unlock_ipi_call_lock. The TLB flush IPI now being sent reveals a long-standing bug: the booting cpu has its APIC readied in smp_callin at the top of start_secondary, but isn't put into the cpu_online_map until just before that unlock_ipi_call_lock. So native_smp_call_function_mask to online cpus would send_IPI_allbutself, including the cpu just coming up, though it has been excluded from the count to wait for: by the time it handles the IPI, the call data on native_smp_call_function_mask's stack may well have been overwritten. So fall back to send_IPI_mask while cpu_online_map does not match cpu_callout_map: perhaps there's a better APICological fix to be made at the start_secondary end, but I wouldn't know that. Signed-off-by: Hugh Dickins <hugh@veritas.com> Signed-off-by: Ingo Molnar <mingo@elte.hu>
2008-05-13 13:26:57 +00:00
if (err) {
pr_err("do_boot_cpu failed(%d) to wakeup CPU#%u\n", err, cpu);
ret = -EIO;
goto unreg_nmi;
}
/*
* Check TSC synchronization with the AP (keep irqs disabled
* while doing so):
*/
local_irq_save(flags);
check_tsc_sync_source(cpu);
local_irq_restore(flags);
while (!cpu_online(cpu)) {
cpu_relax();
touch_nmi_watchdog();
}
unreg_nmi:
/*
* Clean up the nmi handler. Do this after the callin and callout sync
* to avoid impact of possible long unregister time.
*/
if (cpu0_nmi_registered)
unregister_nmi_handler(NMI_LOCAL, "wake_cpu0");
return ret;
}
/**
* arch_disable_smp_support() - disables SMP support for x86 at runtime
*/
void arch_disable_smp_support(void)
{
disable_ioapic_support();
}
/*
* Fall back to non SMP mode after errors.
*
* RED-PEN audit/test this more. I bet there is more state messed up here.
*/
static __init void disable_smp(void)
{
pr_info("SMP disabled\n");
disable_ioapic_support();
init_cpu_present(cpumask_of(0));
init_cpu_possible(cpumask_of(0));
if (smp_found_config)
physid_set_mask_of_physid(boot_cpu_physical_apicid, &phys_cpu_present_map);
else
physid_set_mask_of_physid(0, &phys_cpu_present_map);
cpumask_set_cpu(0, topology_sibling_cpumask(0));
cpumask_set_cpu(0, topology_core_cpumask(0));
cpumask_set_cpu(0, topology_die_cpumask(0));
}
/*
* Various sanity checks.
*/
static void __init smp_sanity_check(void)
{
x86: support for new UV apic UV supports really big systems. So big, in fact, that the APICID register does not contain enough bits to contain an APICID that is unique across all cpus. The UV BIOS supports 3 APICID modes: - legacy mode. This mode uses the old APIC mode where APICID is in bits [31:24] of the APICID register. - x2apic mode. This mode is whitebox-compatible. APICIDs are unique across all cpus. Standard x2apic APIC operations (Intel-defined) can be used for IPIs. The node identifier fits within the Intel-defined portion of the APICID register. - x2apic-uv mode. In this mode, the APICIDs on each node have unique IDs, but IDs on different node are not unique. For example, if each mode has 32 cpus, the APICIDs on each node might be 0 - 31. Every node has the same set of IDs. The UV hub is used to route IPIs/interrupts to the correct node. Traditional APIC operations WILL NOT WORK. In x2apic-uv mode, the ACPI tables all contain a full unique ID (note: exact bit layout still changing but the following is close): nnnnnnnnnnlc0cch n = unique node number l = socket number on board c = core h = hyperthread Only the "lc0cch" bits are written to the APICID register. The remaining bits are supplied by having the get_apic_id() function "OR" the extra bits into the value read from the APICID register. (Hmmm.. why not keep the ENTIRE APICID register in per-cpu data....) The x2apic-uv mode is recognized by the MADT table containing: oem_id = "SGI" oem_table_id = "UV-X" Signed-off-by: Jack Steiner <steiner@sgi.com> Signed-off-by: Ingo Molnar <mingo@elte.hu>
2008-03-28 19:12:16 +00:00
preempt_disable();
#if !defined(CONFIG_X86_BIGSMP) && defined(CONFIG_X86_32)
if (def_to_bigsmp && nr_cpu_ids > 8) {
unsigned int cpu;
unsigned nr;
pr_warn("More than 8 CPUs detected - skipping them\n"
"Use CONFIG_X86_BIGSMP\n");
nr = 0;
for_each_present_cpu(cpu) {
if (nr >= 8)
set_cpu_present(cpu, false);
nr++;
}
nr = 0;
for_each_possible_cpu(cpu) {
if (nr >= 8)
set_cpu_possible(cpu, false);
nr++;
}
nr_cpu_ids = 8;
}
#endif
if (!physid_isset(hard_smp_processor_id(), phys_cpu_present_map)) {
pr_warn("weird, boot CPU (#%d) not listed by the BIOS\n",
hard_smp_processor_id());
physid_set(hard_smp_processor_id(), phys_cpu_present_map);
}
/*
* Should not be necessary because the MP table should list the boot
* CPU too, but we do it for the sake of robustness anyway.
*/
if (!apic->check_phys_apicid_present(boot_cpu_physical_apicid)) {
pr_notice("weird, boot CPU (#%d) not listed by the BIOS\n",
boot_cpu_physical_apicid);
physid_set(hard_smp_processor_id(), phys_cpu_present_map);
}
x86: support for new UV apic UV supports really big systems. So big, in fact, that the APICID register does not contain enough bits to contain an APICID that is unique across all cpus. The UV BIOS supports 3 APICID modes: - legacy mode. This mode uses the old APIC mode where APICID is in bits [31:24] of the APICID register. - x2apic mode. This mode is whitebox-compatible. APICIDs are unique across all cpus. Standard x2apic APIC operations (Intel-defined) can be used for IPIs. The node identifier fits within the Intel-defined portion of the APICID register. - x2apic-uv mode. In this mode, the APICIDs on each node have unique IDs, but IDs on different node are not unique. For example, if each mode has 32 cpus, the APICIDs on each node might be 0 - 31. Every node has the same set of IDs. The UV hub is used to route IPIs/interrupts to the correct node. Traditional APIC operations WILL NOT WORK. In x2apic-uv mode, the ACPI tables all contain a full unique ID (note: exact bit layout still changing but the following is close): nnnnnnnnnnlc0cch n = unique node number l = socket number on board c = core h = hyperthread Only the "lc0cch" bits are written to the APICID register. The remaining bits are supplied by having the get_apic_id() function "OR" the extra bits into the value read from the APICID register. (Hmmm.. why not keep the ENTIRE APICID register in per-cpu data....) The x2apic-uv mode is recognized by the MADT table containing: oem_id = "SGI" oem_table_id = "UV-X" Signed-off-by: Jack Steiner <steiner@sgi.com> Signed-off-by: Ingo Molnar <mingo@elte.hu>
2008-03-28 19:12:16 +00:00
preempt_enable();
}
static void __init smp_cpu_index_default(void)
{
int i;
struct cpuinfo_x86 *c;
for_each_possible_cpu(i) {
c = &cpu_data(i);
/* mark all to hotplug */
c->cpu_index = nr_cpu_ids;
}
}
static void __init smp_get_logical_apicid(void)
{
if (x2apic_mode)
cpu0_logical_apicid = apic_read(APIC_LDR);
else
cpu0_logical_apicid = GET_APIC_LOGICAL_ID(apic_read(APIC_LDR));
}
void __init smp_prepare_cpus_common(void)
{
unsigned int i;
smp_cpu_index_default();
/*
* Setup boot CPU information
*/
smp_store_boot_cpu_info(); /* Final full version of the data */
cpumask_copy(cpu_callin_mask, cpumask_of(0));
mb();
for_each_possible_cpu(i) {
zalloc_cpumask_var(&per_cpu(cpu_sibling_map, i), GFP_KERNEL);
zalloc_cpumask_var(&per_cpu(cpu_core_map, i), GFP_KERNEL);
zalloc_cpumask_var(&per_cpu(cpu_die_map, i), GFP_KERNEL);
zalloc_cpumask_var(&per_cpu(cpu_llc_shared_map, i), GFP_KERNEL);
zalloc_cpumask_var(&per_cpu(cpu_l2c_shared_map, i), GFP_KERNEL);
}
/*
* Set 'default' x86 topology, this matches default_topology() in that
* it has NUMA nodes as a topology level. See also
* native_smp_cpus_done().
*
* Must be done before set_cpus_sibling_map() is ran.
*/
set_sched_topology(x86_topology);
set_cpu_sibling_map(0);
}
/*
* Prepare for SMP bootup.
* @max_cpus: configured maximum number of CPUs, It is a legacy parameter
* for common interface support.
*/
void __init native_smp_prepare_cpus(unsigned int max_cpus)
{
smp_prepare_cpus_common();
init_freq_invariance(false, false);
smp_sanity_check();
switch (apic_intr_mode) {
case APIC_PIC:
case APIC_VIRTUAL_WIRE_NO_CONFIG:
disable_smp();
return;
case APIC_SYMMETRIC_IO_NO_ROUTING:
disable_smp();
/* Setup local timer */
x86_init.timers.setup_percpu_clockev();
return;
case APIC_VIRTUAL_WIRE:
case APIC_SYMMETRIC_IO:
break;
}
/* Setup local timer */
x86_init.timers.setup_percpu_clockev();
smp_get_logical_apicid();
pr_info("CPU0: ");
print_cpu_info(&cpu_data(0));
uv_system_init();
set_mtrr_aps_delayed_init();
smp_quirk_init_udelay();
speculative_store_bypass_ht_init();
}
void arch_thaw_secondary_cpus_begin(void)
{
set_mtrr_aps_delayed_init();
}
void arch_thaw_secondary_cpus_end(void)
{
mtrr_aps_init();
}
/*
* Early setup to make printk work.
*/
void __init native_smp_prepare_boot_cpu(void)
{
int me = smp_processor_id();
switch_to_new_gdt(me);
/* already set me in cpu_online_mask in boot_cpu_init() */
cpumask_set_cpu(me, cpu_callout_mask);
cpu_set_state_online(me);
native_pv_lock_init();
}
void __init calculate_max_logical_packages(void)
{
2017-11-14 12:42:57 +00:00
int ncpus;
/*
* Today neither Intel nor AMD support heterogeneous systems so
2017-11-14 12:42:57 +00:00
* extrapolate the boot cpu's data to all packages.
*/
ncpus = cpu_data(0).booted_cores * topology_max_smt_threads();
__max_logical_packages = DIV_ROUND_UP(total_cpus, ncpus);
2017-11-14 12:42:57 +00:00
pr_info("Max logical packages: %u\n", __max_logical_packages);
}
void __init native_smp_cpus_done(unsigned int max_cpus)
{
pr_debug("Boot done\n");
calculate_max_logical_packages();
/* XXX for now assume numa-in-package and hybrid don't overlap */
if (x86_has_numa_in_package)
set_sched_topology(x86_numa_in_package_topology);
if (cpu_feature_enabled(X86_FEATURE_HYBRID_CPU))
set_sched_topology(x86_hybrid_topology);
nmi_selftest();
impress_friends();
mtrr_aps_init();
}
static int __initdata setup_possible_cpus = -1;
static int __init _setup_possible_cpus(char *str)
{
get_option(&str, &setup_possible_cpus);
return 0;
}
early_param("possible_cpus", _setup_possible_cpus);
/*
* cpu_possible_mask should be static, it cannot change as cpu's
* are onlined, or offlined. The reason is per-cpu data-structures
* are allocated by some modules at init time, and don't expect to
* do this dynamically on cpu arrival/departure.
* cpu_present_mask on the other hand can change dynamically.
* In case when cpu_hotplug is not compiled, then we resort to current
* behaviour, which is cpu_possible == cpu_present.
* - Ashok Raj
*
* Three ways to find out the number of additional hotplug CPUs:
* - If the BIOS specified disabled CPUs in ACPI/mptables use that.
* - The user can overwrite it with possible_cpus=NUM
* - Otherwise don't reserve additional CPUs.
* We do this because additional CPUs waste a lot of memory.
* -AK
*/
__init void prefill_possible_map(void)
{
int i, possible;
arch/x86: Handle non enumerated CPU after physical hotplug When a CPU is physically added to a system then the MADT table is not updated. If subsequently a kdump kernel is started on that physically added CPU then the ACPI enumeration fails to provide the information for this CPU which is now the boot CPU of the kdump kernel. As a consequence, generic_processor_info() is not invoked for that CPU so the number of enumerated processors is 0 and none of the initializations, including the logical package id management, are performed. We have code which relies on the correctness of the logical package map and other information which is initialized via generic_processor_info(). Executing such code will result in undefined behaviour or kernel crashes. This problem applies only to the kdump kernel because a normal kexec will switch to the original boot CPU, which is enumerated in MADT, before jumping into the kexec kernel. The boot code already has a check for num_processors equal 0 in prefill_possible_map(). We can use that check as an indicator that the enumeration of the boot CPU did not happen and invoke generic_processor_info() for it. That initializes the relevant data for the boot CPU and therefore prevents subsequent failure. [ tglx: Refined the code and rewrote the changelog ] Signed-off-by: Prarit Bhargava <prarit@redhat.com> Fixes: 1f12e32f4cd5 ("x86/topology: Create logical package id") Cc: Peter Zijlstra <peterz@infradead.org> Cc: Len Brown <len.brown@intel.com> Cc: Borislav Petkov <bp@suse.de> Cc: Andi Kleen <ak@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Juergen Gross <jgross@suse.com> Cc: dyoung@redhat.com Cc: Eric Biederman <ebiederm@xmission.com> Cc: kexec@lists.infradead.org Link: http://lkml.kernel.org/r/1475514432-27682-1-git-send-email-prarit@redhat.com Signed-off-by: Thomas Gleixner <tglx@linutronix.de>
2016-10-03 17:07:12 +00:00
/* No boot processor was found in mptable or ACPI MADT */
if (!num_processors) {
if (boot_cpu_has(X86_FEATURE_APIC)) {
int apicid = boot_cpu_physical_apicid;
int cpu = hard_smp_processor_id();
arch/x86: Handle non enumerated CPU after physical hotplug When a CPU is physically added to a system then the MADT table is not updated. If subsequently a kdump kernel is started on that physically added CPU then the ACPI enumeration fails to provide the information for this CPU which is now the boot CPU of the kdump kernel. As a consequence, generic_processor_info() is not invoked for that CPU so the number of enumerated processors is 0 and none of the initializations, including the logical package id management, are performed. We have code which relies on the correctness of the logical package map and other information which is initialized via generic_processor_info(). Executing such code will result in undefined behaviour or kernel crashes. This problem applies only to the kdump kernel because a normal kexec will switch to the original boot CPU, which is enumerated in MADT, before jumping into the kexec kernel. The boot code already has a check for num_processors equal 0 in prefill_possible_map(). We can use that check as an indicator that the enumeration of the boot CPU did not happen and invoke generic_processor_info() for it. That initializes the relevant data for the boot CPU and therefore prevents subsequent failure. [ tglx: Refined the code and rewrote the changelog ] Signed-off-by: Prarit Bhargava <prarit@redhat.com> Fixes: 1f12e32f4cd5 ("x86/topology: Create logical package id") Cc: Peter Zijlstra <peterz@infradead.org> Cc: Len Brown <len.brown@intel.com> Cc: Borislav Petkov <bp@suse.de> Cc: Andi Kleen <ak@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Juergen Gross <jgross@suse.com> Cc: dyoung@redhat.com Cc: Eric Biederman <ebiederm@xmission.com> Cc: kexec@lists.infradead.org Link: http://lkml.kernel.org/r/1475514432-27682-1-git-send-email-prarit@redhat.com Signed-off-by: Thomas Gleixner <tglx@linutronix.de>
2016-10-03 17:07:12 +00:00
pr_warn("Boot CPU (id %d) not listed by BIOS\n", cpu);
arch/x86: Handle non enumerated CPU after physical hotplug When a CPU is physically added to a system then the MADT table is not updated. If subsequently a kdump kernel is started on that physically added CPU then the ACPI enumeration fails to provide the information for this CPU which is now the boot CPU of the kdump kernel. As a consequence, generic_processor_info() is not invoked for that CPU so the number of enumerated processors is 0 and none of the initializations, including the logical package id management, are performed. We have code which relies on the correctness of the logical package map and other information which is initialized via generic_processor_info(). Executing such code will result in undefined behaviour or kernel crashes. This problem applies only to the kdump kernel because a normal kexec will switch to the original boot CPU, which is enumerated in MADT, before jumping into the kexec kernel. The boot code already has a check for num_processors equal 0 in prefill_possible_map(). We can use that check as an indicator that the enumeration of the boot CPU did not happen and invoke generic_processor_info() for it. That initializes the relevant data for the boot CPU and therefore prevents subsequent failure. [ tglx: Refined the code and rewrote the changelog ] Signed-off-by: Prarit Bhargava <prarit@redhat.com> Fixes: 1f12e32f4cd5 ("x86/topology: Create logical package id") Cc: Peter Zijlstra <peterz@infradead.org> Cc: Len Brown <len.brown@intel.com> Cc: Borislav Petkov <bp@suse.de> Cc: Andi Kleen <ak@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Juergen Gross <jgross@suse.com> Cc: dyoung@redhat.com Cc: Eric Biederman <ebiederm@xmission.com> Cc: kexec@lists.infradead.org Link: http://lkml.kernel.org/r/1475514432-27682-1-git-send-email-prarit@redhat.com Signed-off-by: Thomas Gleixner <tglx@linutronix.de>
2016-10-03 17:07:12 +00:00
/* Make sure boot cpu is enumerated */
if (apic->cpu_present_to_apicid(0) == BAD_APICID &&
apic->apic_id_valid(apicid))
generic_processor_info(apicid, boot_cpu_apic_version);
}
arch/x86: Handle non enumerated CPU after physical hotplug When a CPU is physically added to a system then the MADT table is not updated. If subsequently a kdump kernel is started on that physically added CPU then the ACPI enumeration fails to provide the information for this CPU which is now the boot CPU of the kdump kernel. As a consequence, generic_processor_info() is not invoked for that CPU so the number of enumerated processors is 0 and none of the initializations, including the logical package id management, are performed. We have code which relies on the correctness of the logical package map and other information which is initialized via generic_processor_info(). Executing such code will result in undefined behaviour or kernel crashes. This problem applies only to the kdump kernel because a normal kexec will switch to the original boot CPU, which is enumerated in MADT, before jumping into the kexec kernel. The boot code already has a check for num_processors equal 0 in prefill_possible_map(). We can use that check as an indicator that the enumeration of the boot CPU did not happen and invoke generic_processor_info() for it. That initializes the relevant data for the boot CPU and therefore prevents subsequent failure. [ tglx: Refined the code and rewrote the changelog ] Signed-off-by: Prarit Bhargava <prarit@redhat.com> Fixes: 1f12e32f4cd5 ("x86/topology: Create logical package id") Cc: Peter Zijlstra <peterz@infradead.org> Cc: Len Brown <len.brown@intel.com> Cc: Borislav Petkov <bp@suse.de> Cc: Andi Kleen <ak@linux.intel.com> Cc: Jiri Olsa <jolsa@redhat.com> Cc: Juergen Gross <jgross@suse.com> Cc: dyoung@redhat.com Cc: Eric Biederman <ebiederm@xmission.com> Cc: kexec@lists.infradead.org Link: http://lkml.kernel.org/r/1475514432-27682-1-git-send-email-prarit@redhat.com Signed-off-by: Thomas Gleixner <tglx@linutronix.de>
2016-10-03 17:07:12 +00:00
if (!num_processors)
num_processors = 1;
}
i = setup_max_cpus ?: 1;
if (setup_possible_cpus == -1) {
possible = num_processors;
#ifdef CONFIG_HOTPLUG_CPU
if (setup_max_cpus)
possible += disabled_cpus;
#else
if (possible > i)
possible = i;
#endif
} else
possible = setup_possible_cpus;
total_cpus = max_t(int, possible, num_processors + disabled_cpus);
/* nr_cpu_ids could be reduced via nr_cpus= */
if (possible > nr_cpu_ids) {
pr_warn("%d Processors exceeds NR_CPUS limit of %u\n",
possible, nr_cpu_ids);
possible = nr_cpu_ids;
}
#ifdef CONFIG_HOTPLUG_CPU
if (!setup_max_cpus)
#endif
if (possible > i) {
pr_warn("%d Processors exceeds max_cpus limit of %u\n",
possible, setup_max_cpus);
possible = i;
}
nr_cpu_ids = possible;
pr_info("Allowing %d CPUs, %d hotplug CPUs\n",
possible, max_t(int, possible - num_processors, 0));
reset_cpu_possible_mask();
for (i = 0; i < possible; i++)
set_cpu_possible(i, true);
}
#ifdef CONFIG_HOTPLUG_CPU
/* Recompute SMT state for all CPUs on offline */
static void recompute_smt_state(void)
{
int max_threads, cpu;
max_threads = 0;
for_each_online_cpu (cpu) {
int threads = cpumask_weight(topology_sibling_cpumask(cpu));
if (threads > max_threads)
max_threads = threads;
}
__max_smt_threads = max_threads;
}
static void remove_siblinginfo(int cpu)
{
int sibling;
struct cpuinfo_x86 *c = &cpu_data(cpu);
for_each_cpu(sibling, topology_core_cpumask(cpu)) {
cpumask_clear_cpu(cpu, topology_core_cpumask(sibling));
/*/
* last thread sibling in this cpu core going down
*/
if (cpumask_weight(topology_sibling_cpumask(cpu)) == 1)
cpu_data(sibling).booted_cores--;
}
for_each_cpu(sibling, topology_die_cpumask(cpu))
cpumask_clear_cpu(cpu, topology_die_cpumask(sibling));
for_each_cpu(sibling, topology_sibling_cpumask(cpu)) {
cpumask_clear_cpu(cpu, topology_sibling_cpumask(sibling));
if (cpumask_weight(topology_sibling_cpumask(sibling)) == 1)
cpu_data(sibling).smt_active = false;
}
sched: Fix unreleased llc_shared_mask bit during CPU hotplug The following bug can be triggered by hot adding and removing a large number of xen domain0's vcpus repeatedly: BUG: unable to handle kernel NULL pointer dereference at 0000000000000004 IP: [..] find_busiest_group PGD 5a9d5067 PUD 13067 PMD 0 Oops: 0000 [#3] SMP [...] Call Trace: load_balance ? _raw_spin_unlock_irqrestore idle_balance __schedule schedule schedule_timeout ? lock_timer_base schedule_timeout_uninterruptible msleep lock_device_hotplug_sysfs online_store dev_attr_store sysfs_write_file vfs_write SyS_write system_call_fastpath Last level cache shared mask is built during CPU up and the build_sched_domain() routine takes advantage of it to setup the sched domain CPU topology. However, llc_shared_mask is not released during CPU disable, which leads to an invalid sched domainCPU topology. This patch fix it by releasing the llc_shared_mask correctly during CPU disable. Yasuaki also reported that this can happen on real hardware: https://lkml.org/lkml/2014/7/22/1018 His case is here: == Here is an example on my system. My system has 4 sockets and each socket has 15 cores and HT is enabled. In this case, each core of sockes is numbered as follows: | CPU# Socket#0 | 0-14 , 60-74 Socket#1 | 15-29, 75-89 Socket#2 | 30-44, 90-104 Socket#3 | 45-59, 105-119 Then llc_shared_mask of CPU#30 has 0x3fff80000001fffc0000000. It means that last level cache of Socket#2 is shared with CPU#30-44 and 90-104. When hot-removing socket#2 and #3, each core of sockets is numbered as follows: | CPU# Socket#0 | 0-14 , 60-74 Socket#1 | 15-29, 75-89 But llc_shared_mask is not cleared. So llc_shared_mask of CPU#30 remains having 0x3fff80000001fffc0000000. After that, when hot-adding socket#2 and #3, each core of sockets is numbered as follows: | CPU# Socket#0 | 0-14 , 60-74 Socket#1 | 15-29, 75-89 Socket#2 | 30-59 Socket#3 | 90-119 Then llc_shared_mask of CPU#30 becomes 0x3fff8000fffffffc0000000. It means that last level cache of Socket#2 is shared with CPU#30-59 and 90-104. So the mask has the wrong value. Signed-off-by: Wanpeng Li <wanpeng.li@linux.intel.com> Tested-by: Linn Crosetto <linn@hp.com> Reviewed-by: Borislav Petkov <bp@suse.de> Reviewed-by: Toshi Kani <toshi.kani@hp.com> Reviewed-by: Yasuaki Ishimatsu <isimatu.yasuaki@jp.fujitsu.com> Cc: <stable@vger.kernel.org> Cc: David Rientjes <rientjes@google.com> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Steven Rostedt <srostedt@redhat.com> Cc: Peter Zijlstra <peterz@infradead.org> Link: http://lkml.kernel.org/r/1411547885-48165-1-git-send-email-wanpeng.li@linux.intel.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-09-24 08:38:05 +00:00
for_each_cpu(sibling, cpu_llc_shared_mask(cpu))
cpumask_clear_cpu(cpu, cpu_llc_shared_mask(sibling));
for_each_cpu(sibling, cpu_l2c_shared_mask(cpu))
cpumask_clear_cpu(cpu, cpu_l2c_shared_mask(sibling));
sched: Fix unreleased llc_shared_mask bit during CPU hotplug The following bug can be triggered by hot adding and removing a large number of xen domain0's vcpus repeatedly: BUG: unable to handle kernel NULL pointer dereference at 0000000000000004 IP: [..] find_busiest_group PGD 5a9d5067 PUD 13067 PMD 0 Oops: 0000 [#3] SMP [...] Call Trace: load_balance ? _raw_spin_unlock_irqrestore idle_balance __schedule schedule schedule_timeout ? lock_timer_base schedule_timeout_uninterruptible msleep lock_device_hotplug_sysfs online_store dev_attr_store sysfs_write_file vfs_write SyS_write system_call_fastpath Last level cache shared mask is built during CPU up and the build_sched_domain() routine takes advantage of it to setup the sched domain CPU topology. However, llc_shared_mask is not released during CPU disable, which leads to an invalid sched domainCPU topology. This patch fix it by releasing the llc_shared_mask correctly during CPU disable. Yasuaki also reported that this can happen on real hardware: https://lkml.org/lkml/2014/7/22/1018 His case is here: == Here is an example on my system. My system has 4 sockets and each socket has 15 cores and HT is enabled. In this case, each core of sockes is numbered as follows: | CPU# Socket#0 | 0-14 , 60-74 Socket#1 | 15-29, 75-89 Socket#2 | 30-44, 90-104 Socket#3 | 45-59, 105-119 Then llc_shared_mask of CPU#30 has 0x3fff80000001fffc0000000. It means that last level cache of Socket#2 is shared with CPU#30-44 and 90-104. When hot-removing socket#2 and #3, each core of sockets is numbered as follows: | CPU# Socket#0 | 0-14 , 60-74 Socket#1 | 15-29, 75-89 But llc_shared_mask is not cleared. So llc_shared_mask of CPU#30 remains having 0x3fff80000001fffc0000000. After that, when hot-adding socket#2 and #3, each core of sockets is numbered as follows: | CPU# Socket#0 | 0-14 , 60-74 Socket#1 | 15-29, 75-89 Socket#2 | 30-59 Socket#3 | 90-119 Then llc_shared_mask of CPU#30 becomes 0x3fff8000fffffffc0000000. It means that last level cache of Socket#2 is shared with CPU#30-59 and 90-104. So the mask has the wrong value. Signed-off-by: Wanpeng Li <wanpeng.li@linux.intel.com> Tested-by: Linn Crosetto <linn@hp.com> Reviewed-by: Borislav Petkov <bp@suse.de> Reviewed-by: Toshi Kani <toshi.kani@hp.com> Reviewed-by: Yasuaki Ishimatsu <isimatu.yasuaki@jp.fujitsu.com> Cc: <stable@vger.kernel.org> Cc: David Rientjes <rientjes@google.com> Cc: Prarit Bhargava <prarit@redhat.com> Cc: Steven Rostedt <srostedt@redhat.com> Cc: Peter Zijlstra <peterz@infradead.org> Link: http://lkml.kernel.org/r/1411547885-48165-1-git-send-email-wanpeng.li@linux.intel.com Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-09-24 08:38:05 +00:00
cpumask_clear(cpu_llc_shared_mask(cpu));
cpumask_clear(cpu_l2c_shared_mask(cpu));
cpumask_clear(topology_sibling_cpumask(cpu));
cpumask_clear(topology_core_cpumask(cpu));
cpumask_clear(topology_die_cpumask(cpu));
c->cpu_core_id = 0;
c->booted_cores = 0;
cpumask_clear_cpu(cpu, cpu_sibling_setup_mask);
recompute_smt_state();
}
static void remove_cpu_from_maps(int cpu)
{
set_cpu_online(cpu, false);
cpumask_clear_cpu(cpu, cpu_callout_mask);
cpumask_clear_cpu(cpu, cpu_callin_mask);
/* was set by cpu_init() */
cpumask_clear_cpu(cpu, cpu_initialized_mask);
x86: cleanup early per cpu variables/accesses v4 * Introduce a new PER_CPU macro called "EARLY_PER_CPU". This is used by some per_cpu variables that are initialized and accessed before there are per_cpu areas allocated. ["Early" in respect to per_cpu variables is "earlier than the per_cpu areas have been setup".] This patchset adds these new macros: DEFINE_EARLY_PER_CPU(_type, _name, _initvalue) EXPORT_EARLY_PER_CPU_SYMBOL(_name) DECLARE_EARLY_PER_CPU(_type, _name) early_per_cpu_ptr(_name) early_per_cpu_map(_name, _idx) early_per_cpu(_name, _cpu) The DEFINE macro defines the per_cpu variable as well as the early map and pointer. It also initializes the per_cpu variable and map elements to "_initvalue". The early_* macros provide access to the initial map (usually setup during system init) and the early pointer. This pointer is initialized to point to the early map but is then NULL'ed when the actual per_cpu areas are setup. After that the per_cpu variable is the correct access to the variable. The early_per_cpu() macro is not very efficient but does show how to access the variable if you have a function that can be called both "early" and "late". It tests the early ptr to be NULL, and if not then it's still valid. Otherwise, the per_cpu variable is used instead: #define early_per_cpu(_name, _cpu) \ (early_per_cpu_ptr(_name) ? \ early_per_cpu_ptr(_name)[_cpu] : \ per_cpu(_name, _cpu)) A better method is to actually check the pointer manually. In the case below, numa_set_node can be called both "early" and "late": void __cpuinit numa_set_node(int cpu, int node) { int *cpu_to_node_map = early_per_cpu_ptr(x86_cpu_to_node_map); if (cpu_to_node_map) cpu_to_node_map[cpu] = node; else per_cpu(x86_cpu_to_node_map, cpu) = node; } * Add a flag "arch_provides_topology_pointers" that indicates pointers to topology cpumask_t maps are available. Otherwise, use the function returning the cpumask_t value. This is useful if cpumask_t set size is very large to avoid copying data on to/off of the stack. * The coverage of CONFIG_DEBUG_PER_CPU_MAPS has been increased while the non-debug case has been optimized a bit. * Remove an unreferenced compiler warning in drivers/base/topology.c * Clean up #ifdef in setup.c For inclusion into sched-devel/latest tree. Based on: git://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux-2.6.git + sched-devel/latest .../mingo/linux-2.6-sched-devel.git Signed-off-by: Mike Travis <travis@sgi.com> Signed-off-by: Ingo Molnar <mingo@elte.hu> Signed-off-by: Thomas Gleixner <tglx@linutronix.de>
2008-05-12 19:21:12 +00:00
numa_remove_cpu(cpu);
}
void cpu_disable_common(void)
{
int cpu = smp_processor_id();
remove_siblinginfo(cpu);
/* It's now safe to remove this processor from the online map */
lock_vector_lock();
remove_cpu_from_maps(cpu);
unlock_vector_lock();
fixup_irqs();
lapic_offline();
}
int native_cpu_disable(void)
{
x86: Add check for number of available vectors before CPU down Bugzilla: https://bugzilla.kernel.org/show_bug.cgi?id=64791 When a cpu is downed on a system, the irqs on the cpu are assigned to other cpus. It is possible, however, that when a cpu is downed there aren't enough free vectors on the remaining cpus to account for the vectors from the cpu that is being downed. This results in an interesting "overflow" condition where irqs are "assigned" to a CPU but are not handled. For example, when downing cpus on a 1-64 logical processor system: <snip> [ 232.021745] smpboot: CPU 61 is now offline [ 238.480275] smpboot: CPU 62 is now offline [ 245.991080] ------------[ cut here ]------------ [ 245.996270] WARNING: CPU: 0 PID: 0 at net/sched/sch_generic.c:264 dev_watchdog+0x246/0x250() [ 246.005688] NETDEV WATCHDOG: p786p1 (ixgbe): transmit queue 0 timed out [ 246.013070] Modules linked in: lockd sunrpc iTCO_wdt iTCO_vendor_support sb_edac ixgbe microcode e1000e pcspkr joydev edac_core lpc_ich ioatdma ptp mdio mfd_core i2c_i801 dca pps_core i2c_core wmi acpi_cpufreq isci libsas scsi_transport_sas [ 246.037633] CPU: 0 PID: 0 Comm: swapper/0 Not tainted 3.12.0+ #14 [ 246.044451] Hardware name: Intel Corporation S4600LH ........../SVRBD-ROW_T, BIOS SE5C600.86B.01.08.0003.022620131521 02/26/2013 [ 246.057371] 0000000000000009 ffff88081fa03d40 ffffffff8164fbf6 ffff88081fa0ee48 [ 246.065728] ffff88081fa03d90 ffff88081fa03d80 ffffffff81054ecc ffff88081fa13040 [ 246.074073] 0000000000000000 ffff88200cce0000 0000000000000040 0000000000000000 [ 246.082430] Call Trace: [ 246.085174] <IRQ> [<ffffffff8164fbf6>] dump_stack+0x46/0x58 [ 246.091633] [<ffffffff81054ecc>] warn_slowpath_common+0x8c/0xc0 [ 246.098352] [<ffffffff81054fb6>] warn_slowpath_fmt+0x46/0x50 [ 246.104786] [<ffffffff815710d6>] dev_watchdog+0x246/0x250 [ 246.110923] [<ffffffff81570e90>] ? dev_deactivate_queue.constprop.31+0x80/0x80 [ 246.119097] [<ffffffff8106092a>] call_timer_fn+0x3a/0x110 [ 246.125224] [<ffffffff8106280f>] ? update_process_times+0x6f/0x80 [ 246.132137] [<ffffffff81570e90>] ? dev_deactivate_queue.constprop.31+0x80/0x80 [ 246.140308] [<ffffffff81061db0>] run_timer_softirq+0x1f0/0x2a0 [ 246.146933] [<ffffffff81059a80>] __do_softirq+0xe0/0x220 [ 246.152976] [<ffffffff8165fedc>] call_softirq+0x1c/0x30 [ 246.158920] [<ffffffff810045f5>] do_softirq+0x55/0x90 [ 246.164670] [<ffffffff81059d35>] irq_exit+0xa5/0xb0 [ 246.170227] [<ffffffff8166062a>] smp_apic_timer_interrupt+0x4a/0x60 [ 246.177324] [<ffffffff8165f40a>] apic_timer_interrupt+0x6a/0x70 [ 246.184041] <EOI> [<ffffffff81505a1b>] ? cpuidle_enter_state+0x5b/0xe0 [ 246.191559] [<ffffffff81505a17>] ? cpuidle_enter_state+0x57/0xe0 [ 246.198374] [<ffffffff81505b5d>] cpuidle_idle_call+0xbd/0x200 [ 246.204900] [<ffffffff8100b7ae>] arch_cpu_idle+0xe/0x30 [ 246.210846] [<ffffffff810a47b0>] cpu_startup_entry+0xd0/0x250 [ 246.217371] [<ffffffff81646b47>] rest_init+0x77/0x80 [ 246.223028] [<ffffffff81d09e8e>] start_kernel+0x3ee/0x3fb [ 246.229165] [<ffffffff81d0989f>] ? repair_env_string+0x5e/0x5e [ 246.235787] [<ffffffff81d095a5>] x86_64_start_reservations+0x2a/0x2c [ 246.242990] [<ffffffff81d0969f>] x86_64_start_kernel+0xf8/0xfc [ 246.249610] ---[ end trace fb74fdef54d79039 ]--- [ 246.254807] ixgbe 0000:c2:00.0 p786p1: initiating reset due to tx timeout [ 246.262489] ixgbe 0000:c2:00.0 p786p1: Reset adapter Last login: Mon Nov 11 08:35:14 from 10.18.17.119 [root@(none) ~]# [ 246.792676] ixgbe 0000:c2:00.0 p786p1: detected SFP+: 5 [ 249.231598] ixgbe 0000:c2:00.0 p786p1: NIC Link is Up 10 Gbps, Flow Control: RX/TX [ 246.792676] ixgbe 0000:c2:00.0 p786p1: detected SFP+: 5 [ 249.231598] ixgbe 0000:c2:00.0 p786p1: NIC Link is Up 10 Gbps, Flow Control: RX/TX (last lines keep repeating. ixgbe driver is dead until module reload.) If the downed cpu has more vectors than are free on the remaining cpus on the system, it is possible that some vectors are "orphaned" even though they are assigned to a cpu. In this case, since the ixgbe driver had a watchdog, the watchdog fired and notified that something was wrong. This patch adds a function, check_vectors(), to compare the number of vectors on the CPU going down and compares it to the number of vectors available on the system. If there aren't enough vectors for the CPU to go down, an error is returned and propogated back to userspace. v2: Do not need to look at percpu irqs v3: Need to check affinity to prevent counting of MSIs in IOAPIC Lowest Priority Mode v4: Additional changes suggested by Gong Chen. v5/v6/v7/v8: Updated comment text Signed-off-by: Prarit Bhargava <prarit@redhat.com> Link: http://lkml.kernel.org/r/1389613861-3853-1-git-send-email-prarit@redhat.com Reviewed-by: Gong Chen <gong.chen@linux.intel.com> Cc: Andi Kleen <ak@linux.intel.com> Cc: Michel Lespinasse <walken@google.com> Cc: Seiji Aguchi <seiji.aguchi@hds.com> Cc: Yang Zhang <yang.z.zhang@Intel.com> Cc: Paul Gortmaker <paul.gortmaker@windriver.com> Cc: Janet Morgan <janet.morgan@intel.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Ruiv Wang <ruiv.wang@gmail.com> Cc: Gong Chen <gong.chen@linux.intel.com> Signed-off-by: H. Peter Anvin <hpa@linux.intel.com> Cc: <stable@vger.kernel.org>
2014-01-13 11:51:01 +00:00
int ret;
x86/irq: Simplify hotplug vector accounting Before a CPU is taken offline the number of active interrupt vectors on the outgoing CPU and the number of vectors which are available on the other online CPUs are counted and compared. If the active vectors are more than the available vectors on the other CPUs then the CPU hot-unplug operation is aborted. This again uses loop based search and is inaccurate. The bitmap matrix allocator has accurate accounting information and can tell exactly whether the vector space is sufficient or not. Emit a message when the number of globaly reserved (unallocated) vectors is larger than the number of available vectors after offlining a CPU because after that point request_irq() might fail. Signed-off-by: Thomas Gleixner <tglx@linutronix.de> Tested-by: Juergen Gross <jgross@suse.com> Tested-by: Yu Chen <yu.c.chen@intel.com> Acked-by: Juergen Gross <jgross@suse.com> Cc: Boris Ostrovsky <boris.ostrovsky@oracle.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Marc Zyngier <marc.zyngier@arm.com> Cc: Alok Kataria <akataria@vmware.com> Cc: Joerg Roedel <joro@8bytes.org> Cc: "Rafael J. Wysocki" <rjw@rjwysocki.net> Cc: Steven Rostedt <rostedt@goodmis.org> Cc: Christoph Hellwig <hch@lst.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Borislav Petkov <bp@alien8.de> Cc: Paolo Bonzini <pbonzini@redhat.com> Cc: Rui Zhang <rui.zhang@intel.com> Cc: "K. Y. Srinivasan" <kys@microsoft.com> Cc: Arjan van de Ven <arjan@linux.intel.com> Cc: Dan Williams <dan.j.williams@intel.com> Cc: Len Brown <lenb@kernel.org> Link: https://lkml.kernel.org/r/20170913213156.351193962@linutronix.de
2017-09-13 21:29:53 +00:00
ret = lapic_can_unplug_cpu();
x86: Add check for number of available vectors before CPU down Bugzilla: https://bugzilla.kernel.org/show_bug.cgi?id=64791 When a cpu is downed on a system, the irqs on the cpu are assigned to other cpus. It is possible, however, that when a cpu is downed there aren't enough free vectors on the remaining cpus to account for the vectors from the cpu that is being downed. This results in an interesting "overflow" condition where irqs are "assigned" to a CPU but are not handled. For example, when downing cpus on a 1-64 logical processor system: <snip> [ 232.021745] smpboot: CPU 61 is now offline [ 238.480275] smpboot: CPU 62 is now offline [ 245.991080] ------------[ cut here ]------------ [ 245.996270] WARNING: CPU: 0 PID: 0 at net/sched/sch_generic.c:264 dev_watchdog+0x246/0x250() [ 246.005688] NETDEV WATCHDOG: p786p1 (ixgbe): transmit queue 0 timed out [ 246.013070] Modules linked in: lockd sunrpc iTCO_wdt iTCO_vendor_support sb_edac ixgbe microcode e1000e pcspkr joydev edac_core lpc_ich ioatdma ptp mdio mfd_core i2c_i801 dca pps_core i2c_core wmi acpi_cpufreq isci libsas scsi_transport_sas [ 246.037633] CPU: 0 PID: 0 Comm: swapper/0 Not tainted 3.12.0+ #14 [ 246.044451] Hardware name: Intel Corporation S4600LH ........../SVRBD-ROW_T, BIOS SE5C600.86B.01.08.0003.022620131521 02/26/2013 [ 246.057371] 0000000000000009 ffff88081fa03d40 ffffffff8164fbf6 ffff88081fa0ee48 [ 246.065728] ffff88081fa03d90 ffff88081fa03d80 ffffffff81054ecc ffff88081fa13040 [ 246.074073] 0000000000000000 ffff88200cce0000 0000000000000040 0000000000000000 [ 246.082430] Call Trace: [ 246.085174] <IRQ> [<ffffffff8164fbf6>] dump_stack+0x46/0x58 [ 246.091633] [<ffffffff81054ecc>] warn_slowpath_common+0x8c/0xc0 [ 246.098352] [<ffffffff81054fb6>] warn_slowpath_fmt+0x46/0x50 [ 246.104786] [<ffffffff815710d6>] dev_watchdog+0x246/0x250 [ 246.110923] [<ffffffff81570e90>] ? dev_deactivate_queue.constprop.31+0x80/0x80 [ 246.119097] [<ffffffff8106092a>] call_timer_fn+0x3a/0x110 [ 246.125224] [<ffffffff8106280f>] ? update_process_times+0x6f/0x80 [ 246.132137] [<ffffffff81570e90>] ? dev_deactivate_queue.constprop.31+0x80/0x80 [ 246.140308] [<ffffffff81061db0>] run_timer_softirq+0x1f0/0x2a0 [ 246.146933] [<ffffffff81059a80>] __do_softirq+0xe0/0x220 [ 246.152976] [<ffffffff8165fedc>] call_softirq+0x1c/0x30 [ 246.158920] [<ffffffff810045f5>] do_softirq+0x55/0x90 [ 246.164670] [<ffffffff81059d35>] irq_exit+0xa5/0xb0 [ 246.170227] [<ffffffff8166062a>] smp_apic_timer_interrupt+0x4a/0x60 [ 246.177324] [<ffffffff8165f40a>] apic_timer_interrupt+0x6a/0x70 [ 246.184041] <EOI> [<ffffffff81505a1b>] ? cpuidle_enter_state+0x5b/0xe0 [ 246.191559] [<ffffffff81505a17>] ? cpuidle_enter_state+0x57/0xe0 [ 246.198374] [<ffffffff81505b5d>] cpuidle_idle_call+0xbd/0x200 [ 246.204900] [<ffffffff8100b7ae>] arch_cpu_idle+0xe/0x30 [ 246.210846] [<ffffffff810a47b0>] cpu_startup_entry+0xd0/0x250 [ 246.217371] [<ffffffff81646b47>] rest_init+0x77/0x80 [ 246.223028] [<ffffffff81d09e8e>] start_kernel+0x3ee/0x3fb [ 246.229165] [<ffffffff81d0989f>] ? repair_env_string+0x5e/0x5e [ 246.235787] [<ffffffff81d095a5>] x86_64_start_reservations+0x2a/0x2c [ 246.242990] [<ffffffff81d0969f>] x86_64_start_kernel+0xf8/0xfc [ 246.249610] ---[ end trace fb74fdef54d79039 ]--- [ 246.254807] ixgbe 0000:c2:00.0 p786p1: initiating reset due to tx timeout [ 246.262489] ixgbe 0000:c2:00.0 p786p1: Reset adapter Last login: Mon Nov 11 08:35:14 from 10.18.17.119 [root@(none) ~]# [ 246.792676] ixgbe 0000:c2:00.0 p786p1: detected SFP+: 5 [ 249.231598] ixgbe 0000:c2:00.0 p786p1: NIC Link is Up 10 Gbps, Flow Control: RX/TX [ 246.792676] ixgbe 0000:c2:00.0 p786p1: detected SFP+: 5 [ 249.231598] ixgbe 0000:c2:00.0 p786p1: NIC Link is Up 10 Gbps, Flow Control: RX/TX (last lines keep repeating. ixgbe driver is dead until module reload.) If the downed cpu has more vectors than are free on the remaining cpus on the system, it is possible that some vectors are "orphaned" even though they are assigned to a cpu. In this case, since the ixgbe driver had a watchdog, the watchdog fired and notified that something was wrong. This patch adds a function, check_vectors(), to compare the number of vectors on the CPU going down and compares it to the number of vectors available on the system. If there aren't enough vectors for the CPU to go down, an error is returned and propogated back to userspace. v2: Do not need to look at percpu irqs v3: Need to check affinity to prevent counting of MSIs in IOAPIC Lowest Priority Mode v4: Additional changes suggested by Gong Chen. v5/v6/v7/v8: Updated comment text Signed-off-by: Prarit Bhargava <prarit@redhat.com> Link: http://lkml.kernel.org/r/1389613861-3853-1-git-send-email-prarit@redhat.com Reviewed-by: Gong Chen <gong.chen@linux.intel.com> Cc: Andi Kleen <ak@linux.intel.com> Cc: Michel Lespinasse <walken@google.com> Cc: Seiji Aguchi <seiji.aguchi@hds.com> Cc: Yang Zhang <yang.z.zhang@Intel.com> Cc: Paul Gortmaker <paul.gortmaker@windriver.com> Cc: Janet Morgan <janet.morgan@intel.com> Cc: Tony Luck <tony.luck@intel.com> Cc: Ruiv Wang <ruiv.wang@gmail.com> Cc: Gong Chen <gong.chen@linux.intel.com> Signed-off-by: H. Peter Anvin <hpa@linux.intel.com> Cc: <stable@vger.kernel.org>
2014-01-13 11:51:01 +00:00
if (ret)
return ret;
cpu_disable_common();
x86/smpboot: Speed up suspend/resume by avoiding 100ms sleep for CPU offline during S3 With certain kernel configurations, CPU offline consumes more than 100ms during S3. It's a timing related issue: native_cpu_die() would occasionally fall into a 100ms sleep when the CPU idle loop thread marked the CPU state to DEAD too slowly. What native_cpu_die() does is that it polls the CPU state and waits for 100ms if CPU state hasn't been marked to DEAD. The 100ms sleep doesn't make sense and is purely historic. To avoid such long sleeping, this patch adds a 'struct completion' to each CPU, waits for the completion in native_cpu_die() and wakes up the completion when the CPU state is marked to DEAD. Tested on an Intel Xeon server with 48 cores, Ivybridge and on Haswell laptops. The CPU offlining cost on these machines is reduced from more than 100ms to less than 5ms. The system suspend time is reduced by 2.3s on the servers. Borislav and Prarit also helped to test the patch on an AMD machine and a few systems of various sizes and configurations (multi-socket, single-socket, no hyper threading, etc.). No issues were seen. Tested-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Lan Tianyu <tianyu.lan@intel.com> Acked-by: Borislav Petkov <bp@suse.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: srostedt@redhat.com Cc: toshi.kani@hp.com Cc: imammedo@redhat.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Link: http://lkml.kernel.org/r/1409039025-32310-1-git-send-email-tianyu.lan@intel.com [ Improved a few minor details in the code, cleaned up the changelog. ] Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-08-26 07:43:45 +00:00
/*
* Disable the local APIC. Otherwise IPI broadcasts will reach
* it. It still responds normally to INIT, NMI, SMI, and SIPI
* messages.
*
* Disabling the APIC must happen after cpu_disable_common()
* which invokes fixup_irqs().
*
* Disabling the APIC preserves already set bits in IRR, but
* an interrupt arriving after disabling the local APIC does not
* set the corresponding IRR bit.
*
* fixup_irqs() scans IRR for set bits so it can raise a not
* yet handled interrupt on the new destination CPU via an IPI
* but obviously it can't do so for IRR bits which are not set.
* IOW, interrupts arriving after disabling the local APIC will
* be lost.
*/
apic_soft_disable();
return 0;
}
int common_cpu_die(unsigned int cpu)
{
int ret = 0;
/* We don't do anything here: idle task is faking death itself. */
x86/smpboot: Speed up suspend/resume by avoiding 100ms sleep for CPU offline during S3 With certain kernel configurations, CPU offline consumes more than 100ms during S3. It's a timing related issue: native_cpu_die() would occasionally fall into a 100ms sleep when the CPU idle loop thread marked the CPU state to DEAD too slowly. What native_cpu_die() does is that it polls the CPU state and waits for 100ms if CPU state hasn't been marked to DEAD. The 100ms sleep doesn't make sense and is purely historic. To avoid such long sleeping, this patch adds a 'struct completion' to each CPU, waits for the completion in native_cpu_die() and wakes up the completion when the CPU state is marked to DEAD. Tested on an Intel Xeon server with 48 cores, Ivybridge and on Haswell laptops. The CPU offlining cost on these machines is reduced from more than 100ms to less than 5ms. The system suspend time is reduced by 2.3s on the servers. Borislav and Prarit also helped to test the patch on an AMD machine and a few systems of various sizes and configurations (multi-socket, single-socket, no hyper threading, etc.). No issues were seen. Tested-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Lan Tianyu <tianyu.lan@intel.com> Acked-by: Borislav Petkov <bp@suse.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: srostedt@redhat.com Cc: toshi.kani@hp.com Cc: imammedo@redhat.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Link: http://lkml.kernel.org/r/1409039025-32310-1-git-send-email-tianyu.lan@intel.com [ Improved a few minor details in the code, cleaned up the changelog. ] Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-08-26 07:43:45 +00:00
/* They ack this in play_dead() by setting CPU_DEAD */
if (cpu_wait_death(cpu, 5)) {
x86/smpboot: Speed up suspend/resume by avoiding 100ms sleep for CPU offline during S3 With certain kernel configurations, CPU offline consumes more than 100ms during S3. It's a timing related issue: native_cpu_die() would occasionally fall into a 100ms sleep when the CPU idle loop thread marked the CPU state to DEAD too slowly. What native_cpu_die() does is that it polls the CPU state and waits for 100ms if CPU state hasn't been marked to DEAD. The 100ms sleep doesn't make sense and is purely historic. To avoid such long sleeping, this patch adds a 'struct completion' to each CPU, waits for the completion in native_cpu_die() and wakes up the completion when the CPU state is marked to DEAD. Tested on an Intel Xeon server with 48 cores, Ivybridge and on Haswell laptops. The CPU offlining cost on these machines is reduced from more than 100ms to less than 5ms. The system suspend time is reduced by 2.3s on the servers. Borislav and Prarit also helped to test the patch on an AMD machine and a few systems of various sizes and configurations (multi-socket, single-socket, no hyper threading, etc.). No issues were seen. Tested-by: Prarit Bhargava <prarit@redhat.com> Signed-off-by: Lan Tianyu <tianyu.lan@intel.com> Acked-by: Borislav Petkov <bp@suse.de> Cc: Peter Zijlstra <peterz@infradead.org> Cc: srostedt@redhat.com Cc: toshi.kani@hp.com Cc: imammedo@redhat.com Cc: Linus Torvalds <torvalds@linux-foundation.org> Link: http://lkml.kernel.org/r/1409039025-32310-1-git-send-email-tianyu.lan@intel.com [ Improved a few minor details in the code, cleaned up the changelog. ] Signed-off-by: Ingo Molnar <mingo@kernel.org>
2014-08-26 07:43:45 +00:00
if (system_state == SYSTEM_RUNNING)
pr_info("CPU %u is now offline\n", cpu);
} else {
pr_err("CPU %u didn't die...\n", cpu);
ret = -1;
}
return ret;
}
void native_cpu_die(unsigned int cpu)
{
common_cpu_die(cpu);
}
void play_dead_common(void)
{
idle_task_exit();
/* Ack it */
(void)cpu_report_death();
/*
* With physical CPU hotplug, we should halt the cpu
*/
local_irq_disable();
}
/**
* cond_wakeup_cpu0 - Wake up CPU0 if needed.
*
* If NMI wants to wake up CPU0, start CPU0.
*/
void cond_wakeup_cpu0(void)
{
if (smp_processor_id() == 0 && enable_start_cpu0)
start_cpu0();
}
EXPORT_SYMBOL_GPL(cond_wakeup_cpu0);
/*
* We need to flush the caches before going to sleep, lest we have
* dirty data in our caches when we come back up.
*/
static inline void mwait_play_dead(void)
{
unsigned int eax, ebx, ecx, edx;
unsigned int highest_cstate = 0;
unsigned int highest_subcstate = 0;
void *mwait_ptr;
int i;
if (boot_cpu_data.x86_vendor == X86_VENDOR_AMD ||
boot_cpu_data.x86_vendor == X86_VENDOR_HYGON)
return;
if (!this_cpu_has(X86_FEATURE_MWAIT))
return;
if (!this_cpu_has(X86_FEATURE_CLFLUSH))
return;
if (__this_cpu_read(cpu_info.cpuid_level) < CPUID_MWAIT_LEAF)
return;
eax = CPUID_MWAIT_LEAF;
ecx = 0;
native_cpuid(&eax, &ebx, &ecx, &edx);
/*
* eax will be 0 if EDX enumeration is not valid.
* Initialized below to cstate, sub_cstate value when EDX is valid.
*/
if (!(ecx & CPUID5_ECX_EXTENSIONS_SUPPORTED)) {
eax = 0;
} else {
edx >>= MWAIT_SUBSTATE_SIZE;
for (i = 0; i < 7 && edx; i++, edx >>= MWAIT_SUBSTATE_SIZE) {
if (edx & MWAIT_SUBSTATE_MASK) {
highest_cstate = i;
highest_subcstate = edx & MWAIT_SUBSTATE_MASK;
}
}
eax = (highest_cstate << MWAIT_SUBSTATE_SIZE) |
(highest_subcstate - 1);
}
/*
* This should be a memory location in a cache line which is
* unlikely to be touched by other processors. The actual
* content is immaterial as it is not actually modified in any way.
*/
mwait_ptr = &current_thread_info()->flags;
wbinvd();
while (1) {
/*
* The CLFLUSH is a workaround for erratum AAI65 for
* the Xeon 7400 series. It's not clear it is actually
* needed, but it should be harmless in either case.
* The WBINVD is insufficient due to the spurious-wakeup
* case where we return around the loop.
*/
mb();
clflush(mwait_ptr);
mb();
__monitor(mwait_ptr, 0, 0);
mb();
__mwait(eax, 0);
cond_wakeup_cpu0();
}
}
x86 / hibernate: Use hlt_play_dead() when resuming from hibernation On Intel hardware, native_play_dead() uses mwait_play_dead() by default and only falls back to the other methods if that fails. That also happens during resume from hibernation, when the restore (boot) kernel runs disable_nonboot_cpus() to take all of the CPUs except for the boot one offline. However, that is problematic, because the address passed to __monitor() in mwait_play_dead() is likely to be written to in the last phase of hibernate image restoration and that causes the "dead" CPU to start executing instructions again. Unfortunately, the page containing the address in that CPU's instruction pointer may not be valid any more at that point. First, that page may have been overwritten with image kernel memory contents already, so the instructions the CPU attempts to execute may simply be invalid. Second, the page tables previously used by that CPU may have been overwritten by image kernel memory contents, so the address in its instruction pointer is impossible to resolve then. A report from Varun Koyyalagunta and investigation carried out by Chen Yu show that the latter sometimes happens in practice. To prevent it from happening, temporarily change the smp_ops.play_dead pointer during resume from hibernation so that it points to a special "play dead" routine which uses hlt_play_dead() and avoids the inadvertent "revivals" of "dead" CPUs this way. A slightly unpleasant consequence of this change is that if the system is hibernated with one or more CPUs offline, it will generally draw more power after resume than it did before hibernation, because the physical state entered by CPUs via hlt_play_dead() is higher-power than the mwait_play_dead() one in the majority of cases. It is possible to work around this, but it is unclear how much of a problem that's going to be in practice, so the workaround will be implemented later if it turns out to be necessary. Link: https://bugzilla.kernel.org/show_bug.cgi?id=106371 Reported-by: Varun Koyyalagunta <cpudebug@centtech.com> Original-by: Chen Yu <yu.c.chen@intel.com> Tested-by: Chen Yu <yu.c.chen@intel.com> Signed-off-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Acked-by: Ingo Molnar <mingo@kernel.org>
2016-07-14 01:55:23 +00:00
void hlt_play_dead(void)
{
if (__this_cpu_read(cpu_info.x86) >= 4)
wbinvd();
while (1) {
native_halt();
cond_wakeup_cpu0();
}
}
void native_play_dead(void)
{
play_dead_common();
tboot_shutdown(TB_SHUTDOWN_WFS);
mwait_play_dead(); /* Only returns on failure */
if (cpuidle_play_dead())
hlt_play_dead();
}
#else /* ... !CONFIG_HOTPLUG_CPU */
int native_cpu_disable(void)
{
return -ENOSYS;
}
void native_cpu_die(unsigned int cpu)
{
/* We said "no" in __cpu_disable */
BUG();
}
void native_play_dead(void)
{
BUG();
}
#endif
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
x86, sched: check for counters overflow in frequency invariant accounting The product mcnt * arch_max_freq_ratio can overflows u64. For context, a large value for arch_max_freq_ratio would be 5000, corresponding to a turbo_freq/base_freq ratio of 5 (normally it's more like 1500-2000). A large increment frequency for the MPERF counter would be 5GHz (the base clock of all CPUs on the market today is less than that). With these figures, a CPU would need to go without a scheduler tick for around 8 days for the u64 overflow to happen. It is unlikely, but the check is warranted. Under similar conditions, the difference acnt of two consecutive APERF readings can overflow as well. In these circumstances is appropriate to disable frequency invariant accounting: the feature relies on measures of the clock frequency done at every scheduler tick, which need to be "fresh" to be at all meaningful. A note on i386: prior to version 5.1, the GCC compiler didn't have the builtin function __builtin_mul_overflow. In these GCC versions the macro check_mul_overflow needs __udivdi3() to do (u64)a/b, which the kernel doesn't provide. For this reason this change fails to build on i386 if GCC<5.1, and we protect the entire frequency invariant code behind CONFIG_X86_64 (special thanks to "kbuild test robot" <lkp@intel.com>). Fixes: 1567c3e3467c ("x86, sched: Add support for frequency invariance") Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200531182453.15254-2-ggherdovich@suse.cz
2020-05-31 18:24:51 +00:00
#ifdef CONFIG_X86_64
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
/*
* APERF/MPERF frequency ratio computation.
*
* The scheduler wants to do frequency invariant accounting and needs a <1
* ratio to account for the 'current' frequency, corresponding to
* freq_curr / freq_max.
*
* Since the frequency freq_curr on x86 is controlled by micro-controller and
* our P-state setting is little more than a request/hint, we need to observe
* the effective frequency 'BusyMHz', i.e. the average frequency over a time
* interval after discarding idle time. This is given by:
*
* BusyMHz = delta_APERF / delta_MPERF * freq_base
*
* where freq_base is the max non-turbo P-state.
*
* The freq_max term has to be set to a somewhat arbitrary value, because we
* can't know which turbo states will be available at a given point in time:
* it all depends on the thermal headroom of the entire package. We set it to
* the turbo level with 4 cores active.
*
* Benchmarks show that's a good compromise between the 1C turbo ratio
* (freq_curr/freq_max would rarely reach 1) and something close to freq_base,
* which would ignore the entire turbo range (a conspicuous part, making
* freq_curr/freq_max always maxed out).
*
* An exception to the heuristic above is the Atom uarch, where we choose the
* highest turbo level for freq_max since Atom's are generally oriented towards
* power efficiency.
*
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
* Setting freq_max to anything less than the 1C turbo ratio makes the ratio
* freq_curr / freq_max to eventually grow >1, in which case we clip it to 1.
*/
DEFINE_STATIC_KEY_FALSE(arch_scale_freq_key);
static DEFINE_PER_CPU(u64, arch_prev_aperf);
static DEFINE_PER_CPU(u64, arch_prev_mperf);
static u64 arch_turbo_freq_ratio = SCHED_CAPACITY_SCALE;
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
static u64 arch_max_freq_ratio = SCHED_CAPACITY_SCALE;
void arch_set_max_freq_ratio(bool turbo_disabled)
{
arch_max_freq_ratio = turbo_disabled ? SCHED_CAPACITY_SCALE :
arch_turbo_freq_ratio;
}
cpufreq: ACPI: Update arch scale-invariance max perf ratio if CPPC is not there If the maximum performance level taken for computing the arch_max_freq_ratio value used in the x86 scale-invariance code is higher than the one corresponding to the cpuinfo.max_freq value coming from the acpi_cpufreq driver, the scale-invariant utilization falls below 100% even if the CPU runs at cpuinfo.max_freq or slightly faster, which causes the schedutil governor to select a frequency below cpuinfo.max_freq. That frequency corresponds to a frequency table entry below the maximum performance level necessary to get to the "boost" range of CPU frequencies which prevents "boost" frequencies from being used in some workloads. While this issue is related to scale-invariance, it may be amplified by commit db865272d9c4 ("cpufreq: Avoid configuring old governors as default with intel_pstate") from the 5.10 development cycle which made it extremely easy to default to schedutil even if the preferred driver is acpi_cpufreq as long as intel_pstate is built too, because the mere presence of the latter effectively removes the ondemand governor from the defaults. Distro kernels are likely to include both intel_pstate and acpi_cpufreq on x86, so their users who cannot use intel_pstate or choose to use acpi_cpufreq may easily be affectecd by this issue. If CPPC is available, it can be used to address this issue by extending the frequency tables created by acpi_cpufreq to cover the entire available frequency range (including "boost" frequencies) for each CPU, but if CPPC is not there, acpi_cpufreq has no idea what the maximum "boost" frequency is and the frequency tables created by it cannot be extended in a meaningful way, so in that case make it ask the arch scale-invariance code to to use the "nominal" performance level for CPU utilization scaling in order to avoid the issue at hand. Fixes: db865272d9c4 ("cpufreq: Avoid configuring old governors as default with intel_pstate") Signed-off-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Reviewed-by: Giovanni Gherdovich <ggherdovich@suse.cz> Acked-by: Peter Zijlstra (Intel) <peterz@infradead.org>
2021-02-04 17:34:32 +00:00
EXPORT_SYMBOL_GPL(arch_set_max_freq_ratio);
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
static bool turbo_disabled(void)
{
u64 misc_en;
int err;
err = rdmsrl_safe(MSR_IA32_MISC_ENABLE, &misc_en);
if (err)
return false;
return (misc_en & MSR_IA32_MISC_ENABLE_TURBO_DISABLE);
}
x86, sched: Add support for frequency invariance on ATOM The scheduler needs the ratio freq_curr/freq_max for frequency-invariant accounting. On all ATOM CPUs prior to Goldmont, set freq_max to the 1-core turbo ratio. We intended to perform tests validating that this patch doesn't regress in terms of energy efficiency, given that this is the primary concern on Atom processors. Alas, we found out that turbostat doesn't support reading RAPL interfaces on our test machine (Airmont), and we don't have external equipment to measure power consumption; all we have is the performance results of the benchmarks we ran. Test machine: Platform : Dell Wyse 3040 Thin Client[1] CPU Model : Intel Atom x5-Z8350 (aka Cherry Trail, aka Airmont) Fam/Mod/Ste : 6:76:4 Topology : 1 socket, 4 cores / 4 threads Memory : 2G Storage : onboard flash, XFS filesystem [1] https://www.dell.com/en-us/work/shop/wyse-endpoints-and-software/wyse-3040-thin-client/spd/wyse-3040-thin-client Base frequency and available turbo levels (MHz): Min Operating Freq 266 |*** Low Freq Mode 800 |******** Base Freq 2400 |************************ 4 Cores 2800 |**************************** 3 Cores 2800 |**************************** 2 Cores 3200 |******************************** 1 Core 3200 |******************************** Tested kernels: Baseline : v5.4-rc1, intel_pstate passive, schedutil Comparison #1 : v5.4-rc1, intel_pstate active , powersave Comparison #2 : v5.4-rc1, this patch, intel_pstate passive, schedutil tbench, hackbench and kernbench performed the same under all three kernels; dbench ran faster with intel_pstate/powersave and the git unit tests were a lot faster with intel_pstate/powersave and invariant schedutil wrt the baseline. Not that any of this is terrbily interesting anyway, one doesn't buy an Atom system to go fast. Power consumption regressions aren't expected but we lack the equipment to make that measurement. Turbostat seems to think that reading RAPL on this machine isn't a good idea and we're trusting that decision. comparison ratio of performance with baseline; 1.00 means neutral, lower is better: I_PSTATE FREQ-INV ---------------------------------------- dbench 0.90 ~ kernbench 0.98 0.97 gitsource 0.63 0.43 Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-6-ggherdovich@suse.cz
2020-01-22 15:16:16 +00:00
static bool slv_set_max_freq_ratio(u64 *base_freq, u64 *turbo_freq)
{
int err;
err = rdmsrl_safe(MSR_ATOM_CORE_RATIOS, base_freq);
if (err)
return false;
err = rdmsrl_safe(MSR_ATOM_CORE_TURBO_RATIOS, turbo_freq);
if (err)
return false;
*base_freq = (*base_freq >> 16) & 0x3F; /* max P state */
*turbo_freq = *turbo_freq & 0x3F; /* 1C turbo */
return true;
}
#define X86_MATCH(model) \
X86_MATCH_VENDOR_FAM_MODEL_FEATURE(INTEL, 6, \
INTEL_FAM6_##model, X86_FEATURE_APERFMPERF, NULL)
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
static const struct x86_cpu_id has_knl_turbo_ratio_limits[] = {
X86_MATCH(XEON_PHI_KNL),
X86_MATCH(XEON_PHI_KNM),
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
{}
};
static const struct x86_cpu_id has_skx_turbo_ratio_limits[] = {
X86_MATCH(SKYLAKE_X),
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
{}
};
static const struct x86_cpu_id has_glm_turbo_ratio_limits[] = {
X86_MATCH(ATOM_GOLDMONT),
X86_MATCH(ATOM_GOLDMONT_D),
X86_MATCH(ATOM_GOLDMONT_PLUS),
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
{}
};
x86, sched: Add support for frequency invariance on XEON_PHI_KNL/KNM The scheduler needs the ratio freq_curr/freq_max for frequency-invariant accounting. On Xeon Phi CPUs set freq_max to the second-highest frequency reported by the CPU. Xeon Phi CPUs such as Knights Landing and Knights Mill typically have either one or two turbo frequencies; in the former case that's 100 MHz above the base frequency, in the latter case the two levels are 100 MHz and 200 MHz above base frequency. We set freq_max to the second-highest frequency reported by the CPU. This could be the base frequency (if only one turbo level is available) or the first turbo level (if two levels are available). The rationale is to compromise between power efficiency or performance -- going straight to max turbo would favor efficiency and blindly using base freq would favor performance. For reference, this is how MSR_TURBO_RATIO_LIMIT must be parsed on a Xeon Phi to get the available frequencies (taken from a comment in turbostat's sources): [0] -- Reserved [7:1] -- Base value of number of active cores of bucket 1. [15:8] -- Base value of freq ratio of bucket 1. [20:16] -- +ve delta of number of active cores of bucket 2. i.e. active cores of bucket 2 = active cores of bucket 1 + delta [23:21] -- Negative delta of freq ratio of bucket 2. i.e. freq ratio of bucket 2 = freq ratio of bucket 1 - delta [28:24]-- +ve delta of number of active cores of bucket 3. [31:29]-- -ve delta of freq ratio of bucket 3. [36:32]-- +ve delta of number of active cores of bucket 4. [39:37]-- -ve delta of freq ratio of bucket 4. [44:40]-- +ve delta of number of active cores of bucket 5. [47:45]-- -ve delta of freq ratio of bucket 5. [52:48]-- +ve delta of number of active cores of bucket 6. [55:53]-- -ve delta of freq ratio of bucket 6. [60:56]-- +ve delta of number of active cores of bucket 7. [63:61]-- -ve delta of freq ratio of bucket 7. 1. PERFORMANCE EVALUATION: TBENCH +5% 2. NEUTRAL BENCHMARKS (ALL OTHERS) 3. TEST SETUP 1. PERFORMANCE EVALUATION: TBENCH +5% ------------------------------------- A performance evaluation was conducted on a Knights Mill machine (see "Test Setup" below), were the frequency-invariance patch (on schedutil) is compared to both non-invariant schedutil and active intel_pstate with powersave: all three tested kernels behave the same performance-wise and with regard to power consumption (performance per watt). The only notable difference is tbench: comparison ratio of performance with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- tbench 1.04 1.05 performance-per-watt ratios with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- tbench 1.03 1.04 which essentially means that frequency-invariant schedutil is 5% better than baseline, the same as intel_pstate+powersave. As the results above are averaged over the varying parameter, here the detailed table. Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 49.06 +- 2.12% ( ) 51.66 +- 1.52% ( 5.30%) 52.87 +- 0.88% ( 7.76%) Hmean 2 93.82 +- 0.45% ( ) 103.24 +- 0.70% ( 10.05%) 105.90 +- 0.70% ( 12.88%) Hmean 4 192.46 +- 1.15% ( ) 215.95 +- 0.60% ( 12.21%) 215.78 +- 1.43% ( 12.12%) Hmean 8 406.74 +- 2.58% ( ) 438.58 +- 0.36% ( 7.83%) 437.61 +- 0.97% ( 7.59%) Hmean 16 857.70 +- 1.22% ( ) 890.26 +- 0.72% ( 3.80%) 889.11 +- 0.73% ( 3.66%) Hmean 32 1760.10 +- 0.92% ( ) 1791.70 +- 0.44% ( 1.79%) 1787.95 +- 0.44% ( 1.58%) Hmean 64 3183.50 +- 0.34% ( ) 3183.19 +- 0.36% ( -0.01%) 3187.53 +- 0.36% ( 0.13%) Hmean 128 4830.96 +- 0.31% ( ) 4846.53 +- 0.30% ( 0.32%) 4855.86 +- 0.30% ( 0.52%) Hmean 256 5467.98 +- 0.38% ( ) 5793.80 +- 0.28% ( 5.96%) 5821.94 +- 0.17% ( 6.47%) Hmean 512 5398.10 +- 0.06% ( ) 5745.56 +- 0.08% ( 6.44%) 5503.68 +- 0.07% ( 1.96%) Hmean 1024 5290.43 +- 0.63% ( ) 5221.07 +- 0.47% ( -1.31%) 5277.22 +- 0.80% ( -0.25%) Hmean 1088 5139.71 +- 0.57% ( ) 5236.02 +- 0.71% ( 1.87%) 5190.57 +- 0.41% ( 0.99%) 2. NEUTRAL BENCHMARKS (ALL OTHERS) ---------------------------------- * pgbench (both read/write and read-only) * NASA Parallel Benchmarks (NPB), MPI or OpenMP for message-passing * hackbench * netperf * dbench * kernbench * gitsource (git unit test suite) 3. TEST SETUP ------------- Test machine: CPU Model : Intel Xeon Phi CPU 7255 @ 1.10GHz (a.k.a. Knights Mill) Fam/Mod/Ste : 6:133:0 Topology : 1 socket, 68 cores / 272 threads Memory : 96G Storage : rotary, XFS filesystem Max EFFICiency, BASE frequency and available turbo levels (MHz): EFFIC 1000 |********** BASE 1100 |*********** 68C 1100 |*********** 30C 1200 |************ Tested kernels: Baseline : v5.2, intel_pstate passive, schedutil Comparison #1 : v5.2, intel_pstate active , powersave Comparison #2 : v5.2, this patch, intel_pstate passive, schedutil Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-4-ggherdovich@suse.cz
2020-01-22 15:16:14 +00:00
static bool knl_set_max_freq_ratio(u64 *base_freq, u64 *turbo_freq,
int num_delta_fratio)
{
int fratio, delta_fratio, found;
int err, i;
u64 msr;
err = rdmsrl_safe(MSR_PLATFORM_INFO, base_freq);
if (err)
return false;
*base_freq = (*base_freq >> 8) & 0xFF; /* max P state */
err = rdmsrl_safe(MSR_TURBO_RATIO_LIMIT, &msr);
if (err)
return false;
fratio = (msr >> 8) & 0xFF;
i = 16;
found = 0;
do {
if (found >= num_delta_fratio) {
*turbo_freq = fratio;
return true;
}
delta_fratio = (msr >> (i + 5)) & 0x7;
if (delta_fratio) {
found += 1;
fratio -= delta_fratio;
}
i += 8;
} while (i < 64);
return true;
}
x86, sched: Add support for frequency invariance on SKYLAKE_X The scheduler needs the ratio freq_curr/freq_max for frequency-invariant accounting. On SKYLAKE_X CPUs set freq_max to the highest frequency that can be sustained by a group of at least 4 cores. From the changelog of commit 31e07522be56 ("tools/power turbostat: fix decoding for GLM, DNV, SKX turbo-ratio limits"): > Newer processors do not hard-code the the number of cpus in each bin > to {1, 2, 3, 4, 5, 6, 7, 8} Rather, they can specify any number > of CPUS in each of the 8 bins: > > eg. > > ... > 37 * 100.0 = 3600.0 MHz max turbo 4 active cores > 38 * 100.0 = 3700.0 MHz max turbo 3 active cores > 39 * 100.0 = 3800.0 MHz max turbo 2 active cores > 39 * 100.0 = 3900.0 MHz max turbo 1 active cores > > could now look something like this: > > ... > 37 * 100.0 = 3600.0 MHz max turbo 16 active cores > 38 * 100.0 = 3700.0 MHz max turbo 8 active cores > 39 * 100.0 = 3800.0 MHz max turbo 4 active cores > 39 * 100.0 = 3900.0 MHz max turbo 2 active cores This encoding of turbo levels applies to both SKYLAKE_X and GOLDMONT/GOLDMONT_D, but we treat these two classes in separate commits because their freq_max values need to be different. For SKX we prefer a lower freq_max in the ratio freq_curr/freq_max, allowing load and utilization to overshoot and the schedutil governor to be more performance-oriented. Models from the Atom series (such as GOLDMONT*) are handled in a forthcoming commit as they have to favor power-efficiency over performance. Results from a performance evaluation follow. 1. TEST SETUP 2. NEUTRAL BENCHMARKS 3. NON-NEUTRAL BENCHMARKS 4. DETAILED TABLES 1. TEST SETUP ------------- Test machine: CPU Model : Intel Xeon Platinum 8260L CPU @ 2.40GHz (a.k.a. Cascade Lake) Fam/Mod/Ste : 6:85:6 Topology : 2 sockets, 24 cores / 48 threads each socket Memory : 192G Storage : SSD, XFS filesystem Max EFFICiency, BASE frequency and available turbo levels (MHz): EFFIC 1000 |********** BASE 2400 |************************ 24C 3100 |******************************* 20C 3300 |********************************* 16C 3600 |************************************ 12C 3600 |************************************ 8C 3600 |************************************ 4C 3700 |************************************* 2C 3900 |*************************************** Tested kernels: Baseline : v5.2, intel_pstate passive, schedutil Comparison #1 : v5.2, intel_pstate active , powersave+HWP Comparison #2 : v5.2, this patch, intel_pstate passive, schedutil 2. NEUTRAL BENCHMARKS --------------------- * pgbench read/write * NASA Parallel Benchmarks (NPB), MPI or OpenMP for message-passing * hackbench * netperf 3. NON-NEUTRAL BENCHMARKS ------------------------- comparison ratio with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- pgbench read-only 1.10 ~ tbench 1.82 1.14 comparison ratio with baseline; 1.00 means neutral, lower is better: I_PSTATE FREQ-INV ---------------------------------------- dbench ~ 0.97 kernbench 0.88 0.78 gitsource[*] ~ 0.46 [*] "gitsource" consists in running git's unit tests tilde (~) means 1.00, ie result identical to baseline Performance per watt: performance-per-watt ratios with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- dbench 0.92 0.91 tbench 1.26 1.04 kernbench 0.95 0.96 gitsource 1.03 1.30 Similarly to earlier Xeons, measurable performance gains over non-invariant schedutil are observed on dbench, tbench, kernel compilation and running the git unit tests suite. Looking at the detailed tables show that the patch scores the largest difference when the machine is lightly loaded. Power efficiency suffers lightly on kernbench and a bit more on dbench, but largely improves on gitsource (which also runs considerably faster). For reference, we also report results using active intel_pstate with powersave and HWP; the largest gap between non-invariant schedutil and intel_pstate+powersave is still tbench, which runs 82% better and with 26% improved efficiency on the latter configuration -- this divide isn't closed yet by frequency-invariant schedutil. 4. DETAILED TABLES ------------------ Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 183.56 +- 0.21% ( ) 516.12 +- 0.57% ( 181.18%) 185.59 +- 0.59% ( 1.11%) Hmean 2 365.75 +- 0.25% ( ) 1015.14 +- 0.33% ( 177.55%) 402.59 +- 4.48% ( 10.07%) Hmean 4 720.99 +- 0.44% ( ) 1951.75 +- 0.28% ( 170.70%) 738.39 +- 1.72% ( 2.41%) Hmean 8 1449.93 +- 0.34% ( ) 3830.56 +- 0.24% ( 164.19%) 1750.36 +- 4.65% ( 20.72%) Hmean 16 2874.26 +- 0.57% ( ) 7381.62 +- 0.53% ( 156.82%) 4348.35 +- 2.22% ( 51.29%) Hmean 32 6116.17 +- 5.10% ( ) 13013.05 +- 0.08% ( 112.76%) 8980.35 +- 0.66% ( 46.83%) Hmean 64 14485.04 +- 3.46% ( ) 17835.12 +- 0.35% ( 23.13%) 16540.73 +- 0.51% ( 14.19%) Hmean 128 30779.16 +- 3.20% ( ) 32796.94 +- 2.13% ( 6.56%) 31512.58 +- 0.20% ( 2.38%) Hmean 256 34664.66 +- 0.81% ( ) 34604.67 +- 0.46% ( -0.17%) 34943.70 +- 0.25% ( 0.80%) Hmean 384 33957.51 +- 0.11% ( ) 34091.50 +- 0.14% ( 0.39%) 33921.41 +- 0.09% ( -0.11%) Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 332.94 +- 0.40% ( ) 260.16 +- 0.45% ( 21.86%) 233.56 +- 0.21% ( 29.85%) Amean 4 173.04 +- 0.43% ( ) 138.76 +- 0.03% ( 19.81%) 123.59 +- 0.11% ( 28.58%) Amean 8 89.65 +- 0.20% ( ) 73.54 +- 0.09% ( 17.97%) 65.69 +- 0.10% ( 26.72%) Amean 16 48.08 +- 1.41% ( ) 41.64 +- 1.61% ( 13.40%) 36.00 +- 1.80% ( 25.11%) Amean 32 28.78 +- 0.72% ( ) 26.61 +- 1.99% ( 7.55%) 23.19 +- 1.68% ( 19.43%) Amean 64 20.46 +- 1.85% ( ) 19.76 +- 0.35% ( 3.42%) 17.38 +- 0.92% ( 15.06%) Amean 128 18.69 +- 1.70% ( ) 17.59 +- 1.04% ( 5.90%) 15.73 +- 1.40% ( 15.85%) Amean 192 18.82 +- 1.01% ( ) 17.76 +- 0.77% ( 5.67%) 15.57 +- 1.80% ( 17.28%) Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 792.49 +- 0.20% ( ) 779.35 +- 0.24% ( 1.66%) 427.14 +- 0.16% ( 46.10%) Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-3-ggherdovich@suse.cz
2020-01-22 15:16:13 +00:00
static bool skx_set_max_freq_ratio(u64 *base_freq, u64 *turbo_freq, int size)
{
u64 ratios, counts;
u32 group_size;
int err, i;
err = rdmsrl_safe(MSR_PLATFORM_INFO, base_freq);
if (err)
return false;
*base_freq = (*base_freq >> 8) & 0xFF; /* max P state */
err = rdmsrl_safe(MSR_TURBO_RATIO_LIMIT, &ratios);
if (err)
return false;
err = rdmsrl_safe(MSR_TURBO_RATIO_LIMIT1, &counts);
if (err)
return false;
for (i = 0; i < 64; i += 8) {
group_size = (counts >> i) & 0xFF;
if (group_size >= size) {
*turbo_freq = (ratios >> i) & 0xFF;
return true;
}
}
return false;
}
static bool core_set_max_freq_ratio(u64 *base_freq, u64 *turbo_freq)
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
{
u64 msr;
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
int err;
x86, sched: Add support for frequency invariance on SKYLAKE_X The scheduler needs the ratio freq_curr/freq_max for frequency-invariant accounting. On SKYLAKE_X CPUs set freq_max to the highest frequency that can be sustained by a group of at least 4 cores. From the changelog of commit 31e07522be56 ("tools/power turbostat: fix decoding for GLM, DNV, SKX turbo-ratio limits"): > Newer processors do not hard-code the the number of cpus in each bin > to {1, 2, 3, 4, 5, 6, 7, 8} Rather, they can specify any number > of CPUS in each of the 8 bins: > > eg. > > ... > 37 * 100.0 = 3600.0 MHz max turbo 4 active cores > 38 * 100.0 = 3700.0 MHz max turbo 3 active cores > 39 * 100.0 = 3800.0 MHz max turbo 2 active cores > 39 * 100.0 = 3900.0 MHz max turbo 1 active cores > > could now look something like this: > > ... > 37 * 100.0 = 3600.0 MHz max turbo 16 active cores > 38 * 100.0 = 3700.0 MHz max turbo 8 active cores > 39 * 100.0 = 3800.0 MHz max turbo 4 active cores > 39 * 100.0 = 3900.0 MHz max turbo 2 active cores This encoding of turbo levels applies to both SKYLAKE_X and GOLDMONT/GOLDMONT_D, but we treat these two classes in separate commits because their freq_max values need to be different. For SKX we prefer a lower freq_max in the ratio freq_curr/freq_max, allowing load and utilization to overshoot and the schedutil governor to be more performance-oriented. Models from the Atom series (such as GOLDMONT*) are handled in a forthcoming commit as they have to favor power-efficiency over performance. Results from a performance evaluation follow. 1. TEST SETUP 2. NEUTRAL BENCHMARKS 3. NON-NEUTRAL BENCHMARKS 4. DETAILED TABLES 1. TEST SETUP ------------- Test machine: CPU Model : Intel Xeon Platinum 8260L CPU @ 2.40GHz (a.k.a. Cascade Lake) Fam/Mod/Ste : 6:85:6 Topology : 2 sockets, 24 cores / 48 threads each socket Memory : 192G Storage : SSD, XFS filesystem Max EFFICiency, BASE frequency and available turbo levels (MHz): EFFIC 1000 |********** BASE 2400 |************************ 24C 3100 |******************************* 20C 3300 |********************************* 16C 3600 |************************************ 12C 3600 |************************************ 8C 3600 |************************************ 4C 3700 |************************************* 2C 3900 |*************************************** Tested kernels: Baseline : v5.2, intel_pstate passive, schedutil Comparison #1 : v5.2, intel_pstate active , powersave+HWP Comparison #2 : v5.2, this patch, intel_pstate passive, schedutil 2. NEUTRAL BENCHMARKS --------------------- * pgbench read/write * NASA Parallel Benchmarks (NPB), MPI or OpenMP for message-passing * hackbench * netperf 3. NON-NEUTRAL BENCHMARKS ------------------------- comparison ratio with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- pgbench read-only 1.10 ~ tbench 1.82 1.14 comparison ratio with baseline; 1.00 means neutral, lower is better: I_PSTATE FREQ-INV ---------------------------------------- dbench ~ 0.97 kernbench 0.88 0.78 gitsource[*] ~ 0.46 [*] "gitsource" consists in running git's unit tests tilde (~) means 1.00, ie result identical to baseline Performance per watt: performance-per-watt ratios with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- dbench 0.92 0.91 tbench 1.26 1.04 kernbench 0.95 0.96 gitsource 1.03 1.30 Similarly to earlier Xeons, measurable performance gains over non-invariant schedutil are observed on dbench, tbench, kernel compilation and running the git unit tests suite. Looking at the detailed tables show that the patch scores the largest difference when the machine is lightly loaded. Power efficiency suffers lightly on kernbench and a bit more on dbench, but largely improves on gitsource (which also runs considerably faster). For reference, we also report results using active intel_pstate with powersave and HWP; the largest gap between non-invariant schedutil and intel_pstate+powersave is still tbench, which runs 82% better and with 26% improved efficiency on the latter configuration -- this divide isn't closed yet by frequency-invariant schedutil. 4. DETAILED TABLES ------------------ Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 183.56 +- 0.21% ( ) 516.12 +- 0.57% ( 181.18%) 185.59 +- 0.59% ( 1.11%) Hmean 2 365.75 +- 0.25% ( ) 1015.14 +- 0.33% ( 177.55%) 402.59 +- 4.48% ( 10.07%) Hmean 4 720.99 +- 0.44% ( ) 1951.75 +- 0.28% ( 170.70%) 738.39 +- 1.72% ( 2.41%) Hmean 8 1449.93 +- 0.34% ( ) 3830.56 +- 0.24% ( 164.19%) 1750.36 +- 4.65% ( 20.72%) Hmean 16 2874.26 +- 0.57% ( ) 7381.62 +- 0.53% ( 156.82%) 4348.35 +- 2.22% ( 51.29%) Hmean 32 6116.17 +- 5.10% ( ) 13013.05 +- 0.08% ( 112.76%) 8980.35 +- 0.66% ( 46.83%) Hmean 64 14485.04 +- 3.46% ( ) 17835.12 +- 0.35% ( 23.13%) 16540.73 +- 0.51% ( 14.19%) Hmean 128 30779.16 +- 3.20% ( ) 32796.94 +- 2.13% ( 6.56%) 31512.58 +- 0.20% ( 2.38%) Hmean 256 34664.66 +- 0.81% ( ) 34604.67 +- 0.46% ( -0.17%) 34943.70 +- 0.25% ( 0.80%) Hmean 384 33957.51 +- 0.11% ( ) 34091.50 +- 0.14% ( 0.39%) 33921.41 +- 0.09% ( -0.11%) Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 332.94 +- 0.40% ( ) 260.16 +- 0.45% ( 21.86%) 233.56 +- 0.21% ( 29.85%) Amean 4 173.04 +- 0.43% ( ) 138.76 +- 0.03% ( 19.81%) 123.59 +- 0.11% ( 28.58%) Amean 8 89.65 +- 0.20% ( ) 73.54 +- 0.09% ( 17.97%) 65.69 +- 0.10% ( 26.72%) Amean 16 48.08 +- 1.41% ( ) 41.64 +- 1.61% ( 13.40%) 36.00 +- 1.80% ( 25.11%) Amean 32 28.78 +- 0.72% ( ) 26.61 +- 1.99% ( 7.55%) 23.19 +- 1.68% ( 19.43%) Amean 64 20.46 +- 1.85% ( ) 19.76 +- 0.35% ( 3.42%) 17.38 +- 0.92% ( 15.06%) Amean 128 18.69 +- 1.70% ( ) 17.59 +- 1.04% ( 5.90%) 15.73 +- 1.40% ( 15.85%) Amean 192 18.82 +- 1.01% ( ) 17.76 +- 0.77% ( 5.67%) 15.57 +- 1.80% ( 17.28%) Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 792.49 +- 0.20% ( ) 779.35 +- 0.24% ( 1.66%) 427.14 +- 0.16% ( 46.10%) Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-3-ggherdovich@suse.cz
2020-01-22 15:16:13 +00:00
err = rdmsrl_safe(MSR_PLATFORM_INFO, base_freq);
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
if (err)
return false;
err = rdmsrl_safe(MSR_TURBO_RATIO_LIMIT, &msr);
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
if (err)
return false;
*base_freq = (*base_freq >> 8) & 0xFF; /* max P state */
*turbo_freq = (msr >> 24) & 0xFF; /* 4C turbo */
/* The CPU may have less than 4 cores */
if (!*turbo_freq)
*turbo_freq = msr & 0xFF; /* 1C turbo */
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
return true;
}
static bool intel_set_max_freq_ratio(void)
{
u64 base_freq, turbo_freq;
u64 turbo_ratio;
x86, sched: Add support for frequency invariance on SKYLAKE_X The scheduler needs the ratio freq_curr/freq_max for frequency-invariant accounting. On SKYLAKE_X CPUs set freq_max to the highest frequency that can be sustained by a group of at least 4 cores. From the changelog of commit 31e07522be56 ("tools/power turbostat: fix decoding for GLM, DNV, SKX turbo-ratio limits"): > Newer processors do not hard-code the the number of cpus in each bin > to {1, 2, 3, 4, 5, 6, 7, 8} Rather, they can specify any number > of CPUS in each of the 8 bins: > > eg. > > ... > 37 * 100.0 = 3600.0 MHz max turbo 4 active cores > 38 * 100.0 = 3700.0 MHz max turbo 3 active cores > 39 * 100.0 = 3800.0 MHz max turbo 2 active cores > 39 * 100.0 = 3900.0 MHz max turbo 1 active cores > > could now look something like this: > > ... > 37 * 100.0 = 3600.0 MHz max turbo 16 active cores > 38 * 100.0 = 3700.0 MHz max turbo 8 active cores > 39 * 100.0 = 3800.0 MHz max turbo 4 active cores > 39 * 100.0 = 3900.0 MHz max turbo 2 active cores This encoding of turbo levels applies to both SKYLAKE_X and GOLDMONT/GOLDMONT_D, but we treat these two classes in separate commits because their freq_max values need to be different. For SKX we prefer a lower freq_max in the ratio freq_curr/freq_max, allowing load and utilization to overshoot and the schedutil governor to be more performance-oriented. Models from the Atom series (such as GOLDMONT*) are handled in a forthcoming commit as they have to favor power-efficiency over performance. Results from a performance evaluation follow. 1. TEST SETUP 2. NEUTRAL BENCHMARKS 3. NON-NEUTRAL BENCHMARKS 4. DETAILED TABLES 1. TEST SETUP ------------- Test machine: CPU Model : Intel Xeon Platinum 8260L CPU @ 2.40GHz (a.k.a. Cascade Lake) Fam/Mod/Ste : 6:85:6 Topology : 2 sockets, 24 cores / 48 threads each socket Memory : 192G Storage : SSD, XFS filesystem Max EFFICiency, BASE frequency and available turbo levels (MHz): EFFIC 1000 |********** BASE 2400 |************************ 24C 3100 |******************************* 20C 3300 |********************************* 16C 3600 |************************************ 12C 3600 |************************************ 8C 3600 |************************************ 4C 3700 |************************************* 2C 3900 |*************************************** Tested kernels: Baseline : v5.2, intel_pstate passive, schedutil Comparison #1 : v5.2, intel_pstate active , powersave+HWP Comparison #2 : v5.2, this patch, intel_pstate passive, schedutil 2. NEUTRAL BENCHMARKS --------------------- * pgbench read/write * NASA Parallel Benchmarks (NPB), MPI or OpenMP for message-passing * hackbench * netperf 3. NON-NEUTRAL BENCHMARKS ------------------------- comparison ratio with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- pgbench read-only 1.10 ~ tbench 1.82 1.14 comparison ratio with baseline; 1.00 means neutral, lower is better: I_PSTATE FREQ-INV ---------------------------------------- dbench ~ 0.97 kernbench 0.88 0.78 gitsource[*] ~ 0.46 [*] "gitsource" consists in running git's unit tests tilde (~) means 1.00, ie result identical to baseline Performance per watt: performance-per-watt ratios with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- dbench 0.92 0.91 tbench 1.26 1.04 kernbench 0.95 0.96 gitsource 1.03 1.30 Similarly to earlier Xeons, measurable performance gains over non-invariant schedutil are observed on dbench, tbench, kernel compilation and running the git unit tests suite. Looking at the detailed tables show that the patch scores the largest difference when the machine is lightly loaded. Power efficiency suffers lightly on kernbench and a bit more on dbench, but largely improves on gitsource (which also runs considerably faster). For reference, we also report results using active intel_pstate with powersave and HWP; the largest gap between non-invariant schedutil and intel_pstate+powersave is still tbench, which runs 82% better and with 26% improved efficiency on the latter configuration -- this divide isn't closed yet by frequency-invariant schedutil. 4. DETAILED TABLES ------------------ Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 183.56 +- 0.21% ( ) 516.12 +- 0.57% ( 181.18%) 185.59 +- 0.59% ( 1.11%) Hmean 2 365.75 +- 0.25% ( ) 1015.14 +- 0.33% ( 177.55%) 402.59 +- 4.48% ( 10.07%) Hmean 4 720.99 +- 0.44% ( ) 1951.75 +- 0.28% ( 170.70%) 738.39 +- 1.72% ( 2.41%) Hmean 8 1449.93 +- 0.34% ( ) 3830.56 +- 0.24% ( 164.19%) 1750.36 +- 4.65% ( 20.72%) Hmean 16 2874.26 +- 0.57% ( ) 7381.62 +- 0.53% ( 156.82%) 4348.35 +- 2.22% ( 51.29%) Hmean 32 6116.17 +- 5.10% ( ) 13013.05 +- 0.08% ( 112.76%) 8980.35 +- 0.66% ( 46.83%) Hmean 64 14485.04 +- 3.46% ( ) 17835.12 +- 0.35% ( 23.13%) 16540.73 +- 0.51% ( 14.19%) Hmean 128 30779.16 +- 3.20% ( ) 32796.94 +- 2.13% ( 6.56%) 31512.58 +- 0.20% ( 2.38%) Hmean 256 34664.66 +- 0.81% ( ) 34604.67 +- 0.46% ( -0.17%) 34943.70 +- 0.25% ( 0.80%) Hmean 384 33957.51 +- 0.11% ( ) 34091.50 +- 0.14% ( 0.39%) 33921.41 +- 0.09% ( -0.11%) Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 332.94 +- 0.40% ( ) 260.16 +- 0.45% ( 21.86%) 233.56 +- 0.21% ( 29.85%) Amean 4 173.04 +- 0.43% ( ) 138.76 +- 0.03% ( 19.81%) 123.59 +- 0.11% ( 28.58%) Amean 8 89.65 +- 0.20% ( ) 73.54 +- 0.09% ( 17.97%) 65.69 +- 0.10% ( 26.72%) Amean 16 48.08 +- 1.41% ( ) 41.64 +- 1.61% ( 13.40%) 36.00 +- 1.80% ( 25.11%) Amean 32 28.78 +- 0.72% ( ) 26.61 +- 1.99% ( 7.55%) 23.19 +- 1.68% ( 19.43%) Amean 64 20.46 +- 1.85% ( ) 19.76 +- 0.35% ( 3.42%) 17.38 +- 0.92% ( 15.06%) Amean 128 18.69 +- 1.70% ( ) 17.59 +- 1.04% ( 5.90%) 15.73 +- 1.40% ( 15.85%) Amean 192 18.82 +- 1.01% ( ) 17.76 +- 0.77% ( 5.67%) 15.57 +- 1.80% ( 17.28%) Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 792.49 +- 0.20% ( ) 779.35 +- 0.24% ( 1.66%) 427.14 +- 0.16% ( 46.10%) Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-3-ggherdovich@suse.cz
2020-01-22 15:16:13 +00:00
x86, sched: Add support for frequency invariance on ATOM The scheduler needs the ratio freq_curr/freq_max for frequency-invariant accounting. On all ATOM CPUs prior to Goldmont, set freq_max to the 1-core turbo ratio. We intended to perform tests validating that this patch doesn't regress in terms of energy efficiency, given that this is the primary concern on Atom processors. Alas, we found out that turbostat doesn't support reading RAPL interfaces on our test machine (Airmont), and we don't have external equipment to measure power consumption; all we have is the performance results of the benchmarks we ran. Test machine: Platform : Dell Wyse 3040 Thin Client[1] CPU Model : Intel Atom x5-Z8350 (aka Cherry Trail, aka Airmont) Fam/Mod/Ste : 6:76:4 Topology : 1 socket, 4 cores / 4 threads Memory : 2G Storage : onboard flash, XFS filesystem [1] https://www.dell.com/en-us/work/shop/wyse-endpoints-and-software/wyse-3040-thin-client/spd/wyse-3040-thin-client Base frequency and available turbo levels (MHz): Min Operating Freq 266 |*** Low Freq Mode 800 |******** Base Freq 2400 |************************ 4 Cores 2800 |**************************** 3 Cores 2800 |**************************** 2 Cores 3200 |******************************** 1 Core 3200 |******************************** Tested kernels: Baseline : v5.4-rc1, intel_pstate passive, schedutil Comparison #1 : v5.4-rc1, intel_pstate active , powersave Comparison #2 : v5.4-rc1, this patch, intel_pstate passive, schedutil tbench, hackbench and kernbench performed the same under all three kernels; dbench ran faster with intel_pstate/powersave and the git unit tests were a lot faster with intel_pstate/powersave and invariant schedutil wrt the baseline. Not that any of this is terrbily interesting anyway, one doesn't buy an Atom system to go fast. Power consumption regressions aren't expected but we lack the equipment to make that measurement. Turbostat seems to think that reading RAPL on this machine isn't a good idea and we're trusting that decision. comparison ratio of performance with baseline; 1.00 means neutral, lower is better: I_PSTATE FREQ-INV ---------------------------------------- dbench 0.90 ~ kernbench 0.98 0.97 gitsource 0.63 0.43 Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-6-ggherdovich@suse.cz
2020-01-22 15:16:16 +00:00
if (slv_set_max_freq_ratio(&base_freq, &turbo_freq))
goto out;
if (x86_match_cpu(has_glm_turbo_ratio_limits) &&
skx_set_max_freq_ratio(&base_freq, &turbo_freq, 1))
goto out;
if (x86_match_cpu(has_knl_turbo_ratio_limits) &&
knl_set_max_freq_ratio(&base_freq, &turbo_freq, 1))
x86, sched: Add support for frequency invariance on XEON_PHI_KNL/KNM The scheduler needs the ratio freq_curr/freq_max for frequency-invariant accounting. On Xeon Phi CPUs set freq_max to the second-highest frequency reported by the CPU. Xeon Phi CPUs such as Knights Landing and Knights Mill typically have either one or two turbo frequencies; in the former case that's 100 MHz above the base frequency, in the latter case the two levels are 100 MHz and 200 MHz above base frequency. We set freq_max to the second-highest frequency reported by the CPU. This could be the base frequency (if only one turbo level is available) or the first turbo level (if two levels are available). The rationale is to compromise between power efficiency or performance -- going straight to max turbo would favor efficiency and blindly using base freq would favor performance. For reference, this is how MSR_TURBO_RATIO_LIMIT must be parsed on a Xeon Phi to get the available frequencies (taken from a comment in turbostat's sources): [0] -- Reserved [7:1] -- Base value of number of active cores of bucket 1. [15:8] -- Base value of freq ratio of bucket 1. [20:16] -- +ve delta of number of active cores of bucket 2. i.e. active cores of bucket 2 = active cores of bucket 1 + delta [23:21] -- Negative delta of freq ratio of bucket 2. i.e. freq ratio of bucket 2 = freq ratio of bucket 1 - delta [28:24]-- +ve delta of number of active cores of bucket 3. [31:29]-- -ve delta of freq ratio of bucket 3. [36:32]-- +ve delta of number of active cores of bucket 4. [39:37]-- -ve delta of freq ratio of bucket 4. [44:40]-- +ve delta of number of active cores of bucket 5. [47:45]-- -ve delta of freq ratio of bucket 5. [52:48]-- +ve delta of number of active cores of bucket 6. [55:53]-- -ve delta of freq ratio of bucket 6. [60:56]-- +ve delta of number of active cores of bucket 7. [63:61]-- -ve delta of freq ratio of bucket 7. 1. PERFORMANCE EVALUATION: TBENCH +5% 2. NEUTRAL BENCHMARKS (ALL OTHERS) 3. TEST SETUP 1. PERFORMANCE EVALUATION: TBENCH +5% ------------------------------------- A performance evaluation was conducted on a Knights Mill machine (see "Test Setup" below), were the frequency-invariance patch (on schedutil) is compared to both non-invariant schedutil and active intel_pstate with powersave: all three tested kernels behave the same performance-wise and with regard to power consumption (performance per watt). The only notable difference is tbench: comparison ratio of performance with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- tbench 1.04 1.05 performance-per-watt ratios with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- tbench 1.03 1.04 which essentially means that frequency-invariant schedutil is 5% better than baseline, the same as intel_pstate+powersave. As the results above are averaged over the varying parameter, here the detailed table. Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 49.06 +- 2.12% ( ) 51.66 +- 1.52% ( 5.30%) 52.87 +- 0.88% ( 7.76%) Hmean 2 93.82 +- 0.45% ( ) 103.24 +- 0.70% ( 10.05%) 105.90 +- 0.70% ( 12.88%) Hmean 4 192.46 +- 1.15% ( ) 215.95 +- 0.60% ( 12.21%) 215.78 +- 1.43% ( 12.12%) Hmean 8 406.74 +- 2.58% ( ) 438.58 +- 0.36% ( 7.83%) 437.61 +- 0.97% ( 7.59%) Hmean 16 857.70 +- 1.22% ( ) 890.26 +- 0.72% ( 3.80%) 889.11 +- 0.73% ( 3.66%) Hmean 32 1760.10 +- 0.92% ( ) 1791.70 +- 0.44% ( 1.79%) 1787.95 +- 0.44% ( 1.58%) Hmean 64 3183.50 +- 0.34% ( ) 3183.19 +- 0.36% ( -0.01%) 3187.53 +- 0.36% ( 0.13%) Hmean 128 4830.96 +- 0.31% ( ) 4846.53 +- 0.30% ( 0.32%) 4855.86 +- 0.30% ( 0.52%) Hmean 256 5467.98 +- 0.38% ( ) 5793.80 +- 0.28% ( 5.96%) 5821.94 +- 0.17% ( 6.47%) Hmean 512 5398.10 +- 0.06% ( ) 5745.56 +- 0.08% ( 6.44%) 5503.68 +- 0.07% ( 1.96%) Hmean 1024 5290.43 +- 0.63% ( ) 5221.07 +- 0.47% ( -1.31%) 5277.22 +- 0.80% ( -0.25%) Hmean 1088 5139.71 +- 0.57% ( ) 5236.02 +- 0.71% ( 1.87%) 5190.57 +- 0.41% ( 0.99%) 2. NEUTRAL BENCHMARKS (ALL OTHERS) ---------------------------------- * pgbench (both read/write and read-only) * NASA Parallel Benchmarks (NPB), MPI or OpenMP for message-passing * hackbench * netperf * dbench * kernbench * gitsource (git unit test suite) 3. TEST SETUP ------------- Test machine: CPU Model : Intel Xeon Phi CPU 7255 @ 1.10GHz (a.k.a. Knights Mill) Fam/Mod/Ste : 6:133:0 Topology : 1 socket, 68 cores / 272 threads Memory : 96G Storage : rotary, XFS filesystem Max EFFICiency, BASE frequency and available turbo levels (MHz): EFFIC 1000 |********** BASE 1100 |*********** 68C 1100 |*********** 30C 1200 |************ Tested kernels: Baseline : v5.2, intel_pstate passive, schedutil Comparison #1 : v5.2, intel_pstate active , powersave Comparison #2 : v5.2, this patch, intel_pstate passive, schedutil Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-4-ggherdovich@suse.cz
2020-01-22 15:16:14 +00:00
goto out;
x86, sched: Add support for frequency invariance on SKYLAKE_X The scheduler needs the ratio freq_curr/freq_max for frequency-invariant accounting. On SKYLAKE_X CPUs set freq_max to the highest frequency that can be sustained by a group of at least 4 cores. From the changelog of commit 31e07522be56 ("tools/power turbostat: fix decoding for GLM, DNV, SKX turbo-ratio limits"): > Newer processors do not hard-code the the number of cpus in each bin > to {1, 2, 3, 4, 5, 6, 7, 8} Rather, they can specify any number > of CPUS in each of the 8 bins: > > eg. > > ... > 37 * 100.0 = 3600.0 MHz max turbo 4 active cores > 38 * 100.0 = 3700.0 MHz max turbo 3 active cores > 39 * 100.0 = 3800.0 MHz max turbo 2 active cores > 39 * 100.0 = 3900.0 MHz max turbo 1 active cores > > could now look something like this: > > ... > 37 * 100.0 = 3600.0 MHz max turbo 16 active cores > 38 * 100.0 = 3700.0 MHz max turbo 8 active cores > 39 * 100.0 = 3800.0 MHz max turbo 4 active cores > 39 * 100.0 = 3900.0 MHz max turbo 2 active cores This encoding of turbo levels applies to both SKYLAKE_X and GOLDMONT/GOLDMONT_D, but we treat these two classes in separate commits because their freq_max values need to be different. For SKX we prefer a lower freq_max in the ratio freq_curr/freq_max, allowing load and utilization to overshoot and the schedutil governor to be more performance-oriented. Models from the Atom series (such as GOLDMONT*) are handled in a forthcoming commit as they have to favor power-efficiency over performance. Results from a performance evaluation follow. 1. TEST SETUP 2. NEUTRAL BENCHMARKS 3. NON-NEUTRAL BENCHMARKS 4. DETAILED TABLES 1. TEST SETUP ------------- Test machine: CPU Model : Intel Xeon Platinum 8260L CPU @ 2.40GHz (a.k.a. Cascade Lake) Fam/Mod/Ste : 6:85:6 Topology : 2 sockets, 24 cores / 48 threads each socket Memory : 192G Storage : SSD, XFS filesystem Max EFFICiency, BASE frequency and available turbo levels (MHz): EFFIC 1000 |********** BASE 2400 |************************ 24C 3100 |******************************* 20C 3300 |********************************* 16C 3600 |************************************ 12C 3600 |************************************ 8C 3600 |************************************ 4C 3700 |************************************* 2C 3900 |*************************************** Tested kernels: Baseline : v5.2, intel_pstate passive, schedutil Comparison #1 : v5.2, intel_pstate active , powersave+HWP Comparison #2 : v5.2, this patch, intel_pstate passive, schedutil 2. NEUTRAL BENCHMARKS --------------------- * pgbench read/write * NASA Parallel Benchmarks (NPB), MPI or OpenMP for message-passing * hackbench * netperf 3. NON-NEUTRAL BENCHMARKS ------------------------- comparison ratio with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- pgbench read-only 1.10 ~ tbench 1.82 1.14 comparison ratio with baseline; 1.00 means neutral, lower is better: I_PSTATE FREQ-INV ---------------------------------------- dbench ~ 0.97 kernbench 0.88 0.78 gitsource[*] ~ 0.46 [*] "gitsource" consists in running git's unit tests tilde (~) means 1.00, ie result identical to baseline Performance per watt: performance-per-watt ratios with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- dbench 0.92 0.91 tbench 1.26 1.04 kernbench 0.95 0.96 gitsource 1.03 1.30 Similarly to earlier Xeons, measurable performance gains over non-invariant schedutil are observed on dbench, tbench, kernel compilation and running the git unit tests suite. Looking at the detailed tables show that the patch scores the largest difference when the machine is lightly loaded. Power efficiency suffers lightly on kernbench and a bit more on dbench, but largely improves on gitsource (which also runs considerably faster). For reference, we also report results using active intel_pstate with powersave and HWP; the largest gap between non-invariant schedutil and intel_pstate+powersave is still tbench, which runs 82% better and with 26% improved efficiency on the latter configuration -- this divide isn't closed yet by frequency-invariant schedutil. 4. DETAILED TABLES ------------------ Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 183.56 +- 0.21% ( ) 516.12 +- 0.57% ( 181.18%) 185.59 +- 0.59% ( 1.11%) Hmean 2 365.75 +- 0.25% ( ) 1015.14 +- 0.33% ( 177.55%) 402.59 +- 4.48% ( 10.07%) Hmean 4 720.99 +- 0.44% ( ) 1951.75 +- 0.28% ( 170.70%) 738.39 +- 1.72% ( 2.41%) Hmean 8 1449.93 +- 0.34% ( ) 3830.56 +- 0.24% ( 164.19%) 1750.36 +- 4.65% ( 20.72%) Hmean 16 2874.26 +- 0.57% ( ) 7381.62 +- 0.53% ( 156.82%) 4348.35 +- 2.22% ( 51.29%) Hmean 32 6116.17 +- 5.10% ( ) 13013.05 +- 0.08% ( 112.76%) 8980.35 +- 0.66% ( 46.83%) Hmean 64 14485.04 +- 3.46% ( ) 17835.12 +- 0.35% ( 23.13%) 16540.73 +- 0.51% ( 14.19%) Hmean 128 30779.16 +- 3.20% ( ) 32796.94 +- 2.13% ( 6.56%) 31512.58 +- 0.20% ( 2.38%) Hmean 256 34664.66 +- 0.81% ( ) 34604.67 +- 0.46% ( -0.17%) 34943.70 +- 0.25% ( 0.80%) Hmean 384 33957.51 +- 0.11% ( ) 34091.50 +- 0.14% ( 0.39%) 33921.41 +- 0.09% ( -0.11%) Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 332.94 +- 0.40% ( ) 260.16 +- 0.45% ( 21.86%) 233.56 +- 0.21% ( 29.85%) Amean 4 173.04 +- 0.43% ( ) 138.76 +- 0.03% ( 19.81%) 123.59 +- 0.11% ( 28.58%) Amean 8 89.65 +- 0.20% ( ) 73.54 +- 0.09% ( 17.97%) 65.69 +- 0.10% ( 26.72%) Amean 16 48.08 +- 1.41% ( ) 41.64 +- 1.61% ( 13.40%) 36.00 +- 1.80% ( 25.11%) Amean 32 28.78 +- 0.72% ( ) 26.61 +- 1.99% ( 7.55%) 23.19 +- 1.68% ( 19.43%) Amean 64 20.46 +- 1.85% ( ) 19.76 +- 0.35% ( 3.42%) 17.38 +- 0.92% ( 15.06%) Amean 128 18.69 +- 1.70% ( ) 17.59 +- 1.04% ( 5.90%) 15.73 +- 1.40% ( 15.85%) Amean 192 18.82 +- 1.01% ( ) 17.76 +- 0.77% ( 5.67%) 15.57 +- 1.80% ( 17.28%) Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 792.49 +- 0.20% ( ) 779.35 +- 0.24% ( 1.66%) 427.14 +- 0.16% ( 46.10%) Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-3-ggherdovich@suse.cz
2020-01-22 15:16:13 +00:00
if (x86_match_cpu(has_skx_turbo_ratio_limits) &&
skx_set_max_freq_ratio(&base_freq, &turbo_freq, 4))
goto out;
if (core_set_max_freq_ratio(&base_freq, &turbo_freq))
goto out;
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
return false;
x86, sched: Add support for frequency invariance on SKYLAKE_X The scheduler needs the ratio freq_curr/freq_max for frequency-invariant accounting. On SKYLAKE_X CPUs set freq_max to the highest frequency that can be sustained by a group of at least 4 cores. From the changelog of commit 31e07522be56 ("tools/power turbostat: fix decoding for GLM, DNV, SKX turbo-ratio limits"): > Newer processors do not hard-code the the number of cpus in each bin > to {1, 2, 3, 4, 5, 6, 7, 8} Rather, they can specify any number > of CPUS in each of the 8 bins: > > eg. > > ... > 37 * 100.0 = 3600.0 MHz max turbo 4 active cores > 38 * 100.0 = 3700.0 MHz max turbo 3 active cores > 39 * 100.0 = 3800.0 MHz max turbo 2 active cores > 39 * 100.0 = 3900.0 MHz max turbo 1 active cores > > could now look something like this: > > ... > 37 * 100.0 = 3600.0 MHz max turbo 16 active cores > 38 * 100.0 = 3700.0 MHz max turbo 8 active cores > 39 * 100.0 = 3800.0 MHz max turbo 4 active cores > 39 * 100.0 = 3900.0 MHz max turbo 2 active cores This encoding of turbo levels applies to both SKYLAKE_X and GOLDMONT/GOLDMONT_D, but we treat these two classes in separate commits because their freq_max values need to be different. For SKX we prefer a lower freq_max in the ratio freq_curr/freq_max, allowing load and utilization to overshoot and the schedutil governor to be more performance-oriented. Models from the Atom series (such as GOLDMONT*) are handled in a forthcoming commit as they have to favor power-efficiency over performance. Results from a performance evaluation follow. 1. TEST SETUP 2. NEUTRAL BENCHMARKS 3. NON-NEUTRAL BENCHMARKS 4. DETAILED TABLES 1. TEST SETUP ------------- Test machine: CPU Model : Intel Xeon Platinum 8260L CPU @ 2.40GHz (a.k.a. Cascade Lake) Fam/Mod/Ste : 6:85:6 Topology : 2 sockets, 24 cores / 48 threads each socket Memory : 192G Storage : SSD, XFS filesystem Max EFFICiency, BASE frequency and available turbo levels (MHz): EFFIC 1000 |********** BASE 2400 |************************ 24C 3100 |******************************* 20C 3300 |********************************* 16C 3600 |************************************ 12C 3600 |************************************ 8C 3600 |************************************ 4C 3700 |************************************* 2C 3900 |*************************************** Tested kernels: Baseline : v5.2, intel_pstate passive, schedutil Comparison #1 : v5.2, intel_pstate active , powersave+HWP Comparison #2 : v5.2, this patch, intel_pstate passive, schedutil 2. NEUTRAL BENCHMARKS --------------------- * pgbench read/write * NASA Parallel Benchmarks (NPB), MPI or OpenMP for message-passing * hackbench * netperf 3. NON-NEUTRAL BENCHMARKS ------------------------- comparison ratio with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- pgbench read-only 1.10 ~ tbench 1.82 1.14 comparison ratio with baseline; 1.00 means neutral, lower is better: I_PSTATE FREQ-INV ---------------------------------------- dbench ~ 0.97 kernbench 0.88 0.78 gitsource[*] ~ 0.46 [*] "gitsource" consists in running git's unit tests tilde (~) means 1.00, ie result identical to baseline Performance per watt: performance-per-watt ratios with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- dbench 0.92 0.91 tbench 1.26 1.04 kernbench 0.95 0.96 gitsource 1.03 1.30 Similarly to earlier Xeons, measurable performance gains over non-invariant schedutil are observed on dbench, tbench, kernel compilation and running the git unit tests suite. Looking at the detailed tables show that the patch scores the largest difference when the machine is lightly loaded. Power efficiency suffers lightly on kernbench and a bit more on dbench, but largely improves on gitsource (which also runs considerably faster). For reference, we also report results using active intel_pstate with powersave and HWP; the largest gap between non-invariant schedutil and intel_pstate+powersave is still tbench, which runs 82% better and with 26% improved efficiency on the latter configuration -- this divide isn't closed yet by frequency-invariant schedutil. 4. DETAILED TABLES ------------------ Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 183.56 +- 0.21% ( ) 516.12 +- 0.57% ( 181.18%) 185.59 +- 0.59% ( 1.11%) Hmean 2 365.75 +- 0.25% ( ) 1015.14 +- 0.33% ( 177.55%) 402.59 +- 4.48% ( 10.07%) Hmean 4 720.99 +- 0.44% ( ) 1951.75 +- 0.28% ( 170.70%) 738.39 +- 1.72% ( 2.41%) Hmean 8 1449.93 +- 0.34% ( ) 3830.56 +- 0.24% ( 164.19%) 1750.36 +- 4.65% ( 20.72%) Hmean 16 2874.26 +- 0.57% ( ) 7381.62 +- 0.53% ( 156.82%) 4348.35 +- 2.22% ( 51.29%) Hmean 32 6116.17 +- 5.10% ( ) 13013.05 +- 0.08% ( 112.76%) 8980.35 +- 0.66% ( 46.83%) Hmean 64 14485.04 +- 3.46% ( ) 17835.12 +- 0.35% ( 23.13%) 16540.73 +- 0.51% ( 14.19%) Hmean 128 30779.16 +- 3.20% ( ) 32796.94 +- 2.13% ( 6.56%) 31512.58 +- 0.20% ( 2.38%) Hmean 256 34664.66 +- 0.81% ( ) 34604.67 +- 0.46% ( -0.17%) 34943.70 +- 0.25% ( 0.80%) Hmean 384 33957.51 +- 0.11% ( ) 34091.50 +- 0.14% ( 0.39%) 33921.41 +- 0.09% ( -0.11%) Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 332.94 +- 0.40% ( ) 260.16 +- 0.45% ( 21.86%) 233.56 +- 0.21% ( 29.85%) Amean 4 173.04 +- 0.43% ( ) 138.76 +- 0.03% ( 19.81%) 123.59 +- 0.11% ( 28.58%) Amean 8 89.65 +- 0.20% ( ) 73.54 +- 0.09% ( 17.97%) 65.69 +- 0.10% ( 26.72%) Amean 16 48.08 +- 1.41% ( ) 41.64 +- 1.61% ( 13.40%) 36.00 +- 1.80% ( 25.11%) Amean 32 28.78 +- 0.72% ( ) 26.61 +- 1.99% ( 7.55%) 23.19 +- 1.68% ( 19.43%) Amean 64 20.46 +- 1.85% ( ) 19.76 +- 0.35% ( 3.42%) 17.38 +- 0.92% ( 15.06%) Amean 128 18.69 +- 1.70% ( ) 17.59 +- 1.04% ( 5.90%) 15.73 +- 1.40% ( 15.85%) Amean 192 18.82 +- 1.01% ( ) 17.76 +- 0.77% ( 5.67%) 15.57 +- 1.80% ( 17.28%) Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 792.49 +- 0.20% ( ) 779.35 +- 0.24% ( 1.66%) 427.14 +- 0.16% ( 46.10%) Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-3-ggherdovich@suse.cz
2020-01-22 15:16:13 +00:00
out:
/*
* Some hypervisors advertise X86_FEATURE_APERFMPERF
* but then fill all MSR's with zeroes.
* Some CPUs have turbo boost but don't declare any turbo ratio
* in MSR_TURBO_RATIO_LIMIT.
*/
if (!base_freq || !turbo_freq) {
pr_debug("Couldn't determine cpu base or turbo frequency, necessary for scale-invariant accounting.\n");
return false;
}
turbo_ratio = div_u64(turbo_freq * SCHED_CAPACITY_SCALE, base_freq);
if (!turbo_ratio) {
pr_debug("Non-zero turbo and base frequencies led to a 0 ratio.\n");
return false;
}
arch_turbo_freq_ratio = turbo_ratio;
arch_set_max_freq_ratio(turbo_disabled());
x86, sched: Add support for frequency invariance on SKYLAKE_X The scheduler needs the ratio freq_curr/freq_max for frequency-invariant accounting. On SKYLAKE_X CPUs set freq_max to the highest frequency that can be sustained by a group of at least 4 cores. From the changelog of commit 31e07522be56 ("tools/power turbostat: fix decoding for GLM, DNV, SKX turbo-ratio limits"): > Newer processors do not hard-code the the number of cpus in each bin > to {1, 2, 3, 4, 5, 6, 7, 8} Rather, they can specify any number > of CPUS in each of the 8 bins: > > eg. > > ... > 37 * 100.0 = 3600.0 MHz max turbo 4 active cores > 38 * 100.0 = 3700.0 MHz max turbo 3 active cores > 39 * 100.0 = 3800.0 MHz max turbo 2 active cores > 39 * 100.0 = 3900.0 MHz max turbo 1 active cores > > could now look something like this: > > ... > 37 * 100.0 = 3600.0 MHz max turbo 16 active cores > 38 * 100.0 = 3700.0 MHz max turbo 8 active cores > 39 * 100.0 = 3800.0 MHz max turbo 4 active cores > 39 * 100.0 = 3900.0 MHz max turbo 2 active cores This encoding of turbo levels applies to both SKYLAKE_X and GOLDMONT/GOLDMONT_D, but we treat these two classes in separate commits because their freq_max values need to be different. For SKX we prefer a lower freq_max in the ratio freq_curr/freq_max, allowing load and utilization to overshoot and the schedutil governor to be more performance-oriented. Models from the Atom series (such as GOLDMONT*) are handled in a forthcoming commit as they have to favor power-efficiency over performance. Results from a performance evaluation follow. 1. TEST SETUP 2. NEUTRAL BENCHMARKS 3. NON-NEUTRAL BENCHMARKS 4. DETAILED TABLES 1. TEST SETUP ------------- Test machine: CPU Model : Intel Xeon Platinum 8260L CPU @ 2.40GHz (a.k.a. Cascade Lake) Fam/Mod/Ste : 6:85:6 Topology : 2 sockets, 24 cores / 48 threads each socket Memory : 192G Storage : SSD, XFS filesystem Max EFFICiency, BASE frequency and available turbo levels (MHz): EFFIC 1000 |********** BASE 2400 |************************ 24C 3100 |******************************* 20C 3300 |********************************* 16C 3600 |************************************ 12C 3600 |************************************ 8C 3600 |************************************ 4C 3700 |************************************* 2C 3900 |*************************************** Tested kernels: Baseline : v5.2, intel_pstate passive, schedutil Comparison #1 : v5.2, intel_pstate active , powersave+HWP Comparison #2 : v5.2, this patch, intel_pstate passive, schedutil 2. NEUTRAL BENCHMARKS --------------------- * pgbench read/write * NASA Parallel Benchmarks (NPB), MPI or OpenMP for message-passing * hackbench * netperf 3. NON-NEUTRAL BENCHMARKS ------------------------- comparison ratio with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- pgbench read-only 1.10 ~ tbench 1.82 1.14 comparison ratio with baseline; 1.00 means neutral, lower is better: I_PSTATE FREQ-INV ---------------------------------------- dbench ~ 0.97 kernbench 0.88 0.78 gitsource[*] ~ 0.46 [*] "gitsource" consists in running git's unit tests tilde (~) means 1.00, ie result identical to baseline Performance per watt: performance-per-watt ratios with baseline; 1.00 means neutral, higher is better: I_PSTATE FREQ-INV ---------------------------------------- dbench 0.92 0.91 tbench 1.26 1.04 kernbench 0.95 0.96 gitsource 1.03 1.30 Similarly to earlier Xeons, measurable performance gains over non-invariant schedutil are observed on dbench, tbench, kernel compilation and running the git unit tests suite. Looking at the detailed tables show that the patch scores the largest difference when the machine is lightly loaded. Power efficiency suffers lightly on kernbench and a bit more on dbench, but largely improves on gitsource (which also runs considerably faster). For reference, we also report results using active intel_pstate with powersave and HWP; the largest gap between non-invariant schedutil and intel_pstate+powersave is still tbench, which runs 82% better and with 26% improved efficiency on the latter configuration -- this divide isn't closed yet by frequency-invariant schedutil. 4. DETAILED TABLES ------------------ Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 183.56 +- 0.21% ( ) 516.12 +- 0.57% ( 181.18%) 185.59 +- 0.59% ( 1.11%) Hmean 2 365.75 +- 0.25% ( ) 1015.14 +- 0.33% ( 177.55%) 402.59 +- 4.48% ( 10.07%) Hmean 4 720.99 +- 0.44% ( ) 1951.75 +- 0.28% ( 170.70%) 738.39 +- 1.72% ( 2.41%) Hmean 8 1449.93 +- 0.34% ( ) 3830.56 +- 0.24% ( 164.19%) 1750.36 +- 4.65% ( 20.72%) Hmean 16 2874.26 +- 0.57% ( ) 7381.62 +- 0.53% ( 156.82%) 4348.35 +- 2.22% ( 51.29%) Hmean 32 6116.17 +- 5.10% ( ) 13013.05 +- 0.08% ( 112.76%) 8980.35 +- 0.66% ( 46.83%) Hmean 64 14485.04 +- 3.46% ( ) 17835.12 +- 0.35% ( 23.13%) 16540.73 +- 0.51% ( 14.19%) Hmean 128 30779.16 +- 3.20% ( ) 32796.94 +- 2.13% ( 6.56%) 31512.58 +- 0.20% ( 2.38%) Hmean 256 34664.66 +- 0.81% ( ) 34604.67 +- 0.46% ( -0.17%) 34943.70 +- 0.25% ( 0.80%) Hmean 384 33957.51 +- 0.11% ( ) 34091.50 +- 0.14% ( 0.39%) 33921.41 +- 0.09% ( -0.11%) Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 332.94 +- 0.40% ( ) 260.16 +- 0.45% ( 21.86%) 233.56 +- 0.21% ( 29.85%) Amean 4 173.04 +- 0.43% ( ) 138.76 +- 0.03% ( 19.81%) 123.59 +- 0.11% ( 28.58%) Amean 8 89.65 +- 0.20% ( ) 73.54 +- 0.09% ( 17.97%) 65.69 +- 0.10% ( 26.72%) Amean 16 48.08 +- 1.41% ( ) 41.64 +- 1.61% ( 13.40%) 36.00 +- 1.80% ( 25.11%) Amean 32 28.78 +- 0.72% ( ) 26.61 +- 1.99% ( 7.55%) 23.19 +- 1.68% ( 19.43%) Amean 64 20.46 +- 1.85% ( ) 19.76 +- 0.35% ( 3.42%) 17.38 +- 0.92% ( 15.06%) Amean 128 18.69 +- 1.70% ( ) 17.59 +- 1.04% ( 5.90%) 15.73 +- 1.40% ( 15.85%) Amean 192 18.82 +- 1.01% ( ) 17.76 +- 0.77% ( 5.67%) 15.57 +- 1.80% ( 17.28%) Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate/HWP 5.2.0 freq-inv - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 792.49 +- 0.20% ( ) 779.35 +- 0.24% ( 1.66%) 427.14 +- 0.16% ( 46.10%) Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-3-ggherdovich@suse.cz
2020-01-22 15:16:13 +00:00
return true;
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
}
static void init_counter_refs(void)
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
{
u64 aperf, mperf;
rdmsrl(MSR_IA32_APERF, aperf);
rdmsrl(MSR_IA32_MPERF, mperf);
this_cpu_write(arch_prev_aperf, aperf);
this_cpu_write(arch_prev_mperf, mperf);
}
#ifdef CONFIG_PM_SLEEP
static struct syscore_ops freq_invariance_syscore_ops = {
.resume = init_counter_refs,
};
static void register_freq_invariance_syscore_ops(void)
{
/* Bail out if registered already. */
if (freq_invariance_syscore_ops.node.prev)
return;
register_syscore_ops(&freq_invariance_syscore_ops);
}
#else
static inline void register_freq_invariance_syscore_ops(void) {}
#endif
void init_freq_invariance(bool secondary, bool cppc_ready)
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
{
bool ret = false;
if (!boot_cpu_has(X86_FEATURE_APERFMPERF))
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
return;
if (secondary) {
if (static_branch_likely(&arch_scale_freq_key)) {
init_counter_refs();
}
return;
}
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
if (boot_cpu_data.x86_vendor == X86_VENDOR_INTEL)
ret = intel_set_max_freq_ratio();
else if (boot_cpu_data.x86_vendor == X86_VENDOR_AMD) {
if (!cppc_ready) {
return;
}
ret = amd_set_max_freq_ratio(&arch_turbo_freq_ratio);
}
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
if (ret) {
init_counter_refs();
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
static_branch_enable(&arch_scale_freq_key);
register_freq_invariance_syscore_ops();
pr_info("Estimated ratio of average max frequency by base frequency (times 1024): %llu\n", arch_max_freq_ratio);
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
} else {
pr_debug("Couldn't determine max cpu frequency, necessary for scale-invariant accounting.\n");
}
}
x86, sched: check for counters overflow in frequency invariant accounting The product mcnt * arch_max_freq_ratio can overflows u64. For context, a large value for arch_max_freq_ratio would be 5000, corresponding to a turbo_freq/base_freq ratio of 5 (normally it's more like 1500-2000). A large increment frequency for the MPERF counter would be 5GHz (the base clock of all CPUs on the market today is less than that). With these figures, a CPU would need to go without a scheduler tick for around 8 days for the u64 overflow to happen. It is unlikely, but the check is warranted. Under similar conditions, the difference acnt of two consecutive APERF readings can overflow as well. In these circumstances is appropriate to disable frequency invariant accounting: the feature relies on measures of the clock frequency done at every scheduler tick, which need to be "fresh" to be at all meaningful. A note on i386: prior to version 5.1, the GCC compiler didn't have the builtin function __builtin_mul_overflow. In these GCC versions the macro check_mul_overflow needs __udivdi3() to do (u64)a/b, which the kernel doesn't provide. For this reason this change fails to build on i386 if GCC<5.1, and we protect the entire frequency invariant code behind CONFIG_X86_64 (special thanks to "kbuild test robot" <lkp@intel.com>). Fixes: 1567c3e3467c ("x86, sched: Add support for frequency invariance") Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200531182453.15254-2-ggherdovich@suse.cz
2020-05-31 18:24:51 +00:00
static void disable_freq_invariance_workfn(struct work_struct *work)
{
static_branch_disable(&arch_scale_freq_key);
}
static DECLARE_WORK(disable_freq_invariance_work,
disable_freq_invariance_workfn);
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
DEFINE_PER_CPU(unsigned long, arch_freq_scale) = SCHED_CAPACITY_SCALE;
void arch_scale_freq_tick(void)
{
u64 freq_scale;
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
u64 aperf, mperf;
u64 acnt, mcnt;
if (!arch_scale_freq_invariant())
return;
rdmsrl(MSR_IA32_APERF, aperf);
rdmsrl(MSR_IA32_MPERF, mperf);
acnt = aperf - this_cpu_read(arch_prev_aperf);
mcnt = mperf - this_cpu_read(arch_prev_mperf);
this_cpu_write(arch_prev_aperf, aperf);
this_cpu_write(arch_prev_mperf, mperf);
x86, sched: check for counters overflow in frequency invariant accounting The product mcnt * arch_max_freq_ratio can overflows u64. For context, a large value for arch_max_freq_ratio would be 5000, corresponding to a turbo_freq/base_freq ratio of 5 (normally it's more like 1500-2000). A large increment frequency for the MPERF counter would be 5GHz (the base clock of all CPUs on the market today is less than that). With these figures, a CPU would need to go without a scheduler tick for around 8 days for the u64 overflow to happen. It is unlikely, but the check is warranted. Under similar conditions, the difference acnt of two consecutive APERF readings can overflow as well. In these circumstances is appropriate to disable frequency invariant accounting: the feature relies on measures of the clock frequency done at every scheduler tick, which need to be "fresh" to be at all meaningful. A note on i386: prior to version 5.1, the GCC compiler didn't have the builtin function __builtin_mul_overflow. In these GCC versions the macro check_mul_overflow needs __udivdi3() to do (u64)a/b, which the kernel doesn't provide. For this reason this change fails to build on i386 if GCC<5.1, and we protect the entire frequency invariant code behind CONFIG_X86_64 (special thanks to "kbuild test robot" <lkp@intel.com>). Fixes: 1567c3e3467c ("x86, sched: Add support for frequency invariance") Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200531182453.15254-2-ggherdovich@suse.cz
2020-05-31 18:24:51 +00:00
if (check_shl_overflow(acnt, 2*SCHED_CAPACITY_SHIFT, &acnt))
goto error;
if (check_mul_overflow(mcnt, arch_max_freq_ratio, &mcnt) || !mcnt)
goto error;
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
freq_scale = div64_u64(acnt, mcnt);
x86, sched: check for counters overflow in frequency invariant accounting The product mcnt * arch_max_freq_ratio can overflows u64. For context, a large value for arch_max_freq_ratio would be 5000, corresponding to a turbo_freq/base_freq ratio of 5 (normally it's more like 1500-2000). A large increment frequency for the MPERF counter would be 5GHz (the base clock of all CPUs on the market today is less than that). With these figures, a CPU would need to go without a scheduler tick for around 8 days for the u64 overflow to happen. It is unlikely, but the check is warranted. Under similar conditions, the difference acnt of two consecutive APERF readings can overflow as well. In these circumstances is appropriate to disable frequency invariant accounting: the feature relies on measures of the clock frequency done at every scheduler tick, which need to be "fresh" to be at all meaningful. A note on i386: prior to version 5.1, the GCC compiler didn't have the builtin function __builtin_mul_overflow. In these GCC versions the macro check_mul_overflow needs __udivdi3() to do (u64)a/b, which the kernel doesn't provide. For this reason this change fails to build on i386 if GCC<5.1, and we protect the entire frequency invariant code behind CONFIG_X86_64 (special thanks to "kbuild test robot" <lkp@intel.com>). Fixes: 1567c3e3467c ("x86, sched: Add support for frequency invariance") Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200531182453.15254-2-ggherdovich@suse.cz
2020-05-31 18:24:51 +00:00
if (!freq_scale)
goto error;
x86, sched: Add support for frequency invariance Implement arch_scale_freq_capacity() for 'modern' x86. This function is used by the scheduler to correctly account usage in the face of DVFS. The present patch addresses Intel processors specifically and has positive performance and performance-per-watt implications for the schedutil cpufreq governor, bringing it closer to, if not on-par with, the powersave governor from the intel_pstate driver/framework. Large performance gains are obtained when the machine is lightly loaded and no regression are observed at saturation. The benchmarks with the largest gains are kernel compilation, tbench (the networking version of dbench) and shell-intensive workloads. 1. FREQUENCY INVARIANCE: MOTIVATION * Without it, a task looks larger if the CPU runs slower 2. PECULIARITIES OF X86 * freq invariance accounting requires knowing the ratio freq_curr/freq_max 2.1 CURRENT FREQUENCY * Use delta_APERF / delta_MPERF * freq_base (a.k.a "BusyMHz") 2.2 MAX FREQUENCY * It varies with time (turbo). As an approximation, we set it to a constant, i.e. 4-cores turbo frequency. 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR * The invariant schedutil's formula has no feedback loop and reacts faster to utilization changes 4. KNOWN LIMITATIONS * In some cases tasks can't reach max util despite how hard they try 5. PERFORMANCE TESTING 5.1 MACHINES * Skylake, Broadwell, Haswell 5.2 SETUP * baseline Linux v5.2 w/ non-invariant schedutil. Tested freq_max = 1-2-3-4-8-12 active cores turbo w/ invariant schedutil, and intel_pstate/powersave 5.3 BENCHMARK RESULTS 5.3.1 NEUTRAL BENCHMARKS * NAS Parallel Benchmark (HPC), hackbench 5.3.2 NON-NEUTRAL BENCHMARKS * tbench (10-30% better), kernbench (10-15% better), shell-intensive-scripts (30-50% better) * no regressions 5.3.3 SELECTION OF DETAILED RESULTS 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT * dbench (5% worse on one machine), kernbench (3% worse), tbench (5-10% better), shell-intensive-scripts (10-40% better) 6. MICROARCH'ES ADDRESSED HERE * Xeon Core before Scalable Performance processors line (Xeon Gold/Platinum etc have different MSRs semantic for querying turbo levels) 7. REFERENCES * MMTests performance testing framework, github.com/gormanm/mmtests +-------------------------------------------------------------------------+ | 1. FREQUENCY INVARIANCE: MOTIVATION +-------------------------------------------------------------------------+ For example; suppose a CPU has two frequencies: 500 and 1000 Mhz. When running a task that would consume 1/3rd of a CPU at 1000 MHz, it would appear to consume 2/3rd (or 66.6%) when running at 500 MHz, giving the false impression this CPU is almost at capacity, even though it can go faster [*]. In a nutshell, without frequency scale-invariance tasks look larger just because the CPU is running slower. [*] (footnote: this assumes a linear frequency/performance relation; which everybody knows to be false, but given realities its the best approximation we can make.) +-------------------------------------------------------------------------+ | 2. PECULIARITIES OF X86 +-------------------------------------------------------------------------+ Accounting for frequency changes in PELT signals requires the computation of the ratio freq_curr / freq_max. On x86 neither of those terms is readily available. 2.1 CURRENT FREQUENCY ==================== Since modern x86 has hardware control over the actual frequency we run at (because amongst other things, Turbo-Mode), we cannot simply use the frequency as requested through cpufreq. Instead we use the APERF/MPERF MSRs to compute the effective frequency over the recent past. Also, because reading MSRs is expensive, don't do so every time we need the value, but amortize the cost by doing it every tick. 2.2 MAX FREQUENCY ================= Obtaining freq_max is also non-trivial because at any time the hardware can provide a frequency boost to a selected subset of cores if the package has enough power to spare (eg: Turbo Boost). This means that the maximum frequency available to a given core changes with time. The approach taken in this change is to arbitrarily set freq_max to a constant value at boot. The value chosen is the "4-cores (4C) turbo frequency" on most microarchitectures, after evaluating the following candidates: * 1-core (1C) turbo frequency (the fastest turbo state available) * around base frequency (a.k.a. max P-state) * something in between, such as 4C turbo To interpret these options, consider that this is the denominator in freq_curr/freq_max, and that ratio will be used to scale PELT signals such as util_avg and load_avg. A large denominator will undershoot (util_avg looks a bit smaller than it really is), viceversa with a smaller denominator PELT signals will tend to overshoot. Given that PELT drives frequency selection in the schedutil governor, we will have: freq_max set to | effect on DVFS --------------------+------------------ 1C turbo | power efficiency (lower freq choices) base freq | performance (higher util_avg, higher freq requests) 4C turbo | a bit of both 4C turbo proves to be a good compromise in a number of benchmarks (see below). +-------------------------------------------------------------------------+ | 3. EFFECTS ON THE SCHEDUTIL FREQUENCY GOVERNOR +-------------------------------------------------------------------------+ Once an architecture implements a frequency scale-invariant utilization (the PELT signal util_avg), schedutil switches its frequency selection formula from freq_next = 1.25 * freq_curr * util [non-invariant util signal] to freq_next = 1.25 * freq_max * util [invariant util signal] where, in the second formula, freq_max is set to the 1C turbo frequency (max turbo). The advantage of the second formula, whose usage we unlock with this patch, is that freq_next doesn't depend on the current frequency in an iterative fashion, but can jump to any frequency in a single update. This absence of feedback in the formula makes it quicker to react to utilization changes and more robust against pathological instabilities. Compare it to the update formula of intel_pstate/powersave: freq_next = 1.25 * freq_max * Busy% where again freq_max is 1C turbo and Busy% is the percentage of time not spent idling (calculated with delta_MPERF / delta_TSC); essentially the same as invariant schedutil, and largely responsible for intel_pstate/powersave good reputation. The non-invariant schedutil formula is derived from the invariant one by approximating util_inv with util_raw * freq_curr / freq_max, but this has limitations. Testing shows improved performances due to better frequency selections when the machine is lightly loaded, and essentially no change in behaviour at saturation / overutilization. +-------------------------------------------------------------------------+ | 4. KNOWN LIMITATIONS +-------------------------------------------------------------------------+ It's been shown that it is possible to create pathological scenarios where a CPU-bound task cannot reach max utilization, if the normalizing factor freq_max is fixed to a constant value (see [Lelli-2018]). If freq_max is set to 4C turbo as we do here, one needs to peg at least 5 cores in a package doing some busywork, and observe that none of those task will ever reach max util (1024) because they're all running at less than the 4C turbo frequency. While this concern still applies, we believe the performance benefit of frequency scale-invariant PELT signals outweights the cost of this limitation. [Lelli-2018] https://lore.kernel.org/lkml/20180517150418.GF22493@localhost.localdomain/ +-------------------------------------------------------------------------+ | 5. PERFORMANCE TESTING +-------------------------------------------------------------------------+ 5.1 MACHINES ============ We tested the patch on three machines, with Skylake, Broadwell and Haswell CPUs. The details are below, together with the available turbo ratios as reported by the appropriate MSRs. * 8x-SKYLAKE-UMA: Single socket E3-1240 v5, Skylake 4 cores/8 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 800 |******** BASE 3500 |*********************************** 4C 3700 |************************************* 3C 3800 |************************************** 2C 3900 |*************************************** 1C 3900 |*************************************** * 80x-BROADWELL-NUMA: Two sockets E5-2698 v4, 2x Broadwell 20 cores/40 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2200 |********************** 8C 2900 |***************************** 7C 3000 |****************************** 6C 3100 |******************************* 5C 3200 |******************************** 4C 3300 |********************************* 3C 3400 |********************************** 2C 3600 |************************************ 1C 3600 |************************************ * 48x-HASWELL-NUMA Two sockets E5-2670 v3, 2x Haswell 12 cores/24 threads Max EFFiciency, BASE frequency and available turbo levels (MHz): EFFIC 1200 |************ BASE 2300 |*********************** 12C 2600 |************************** 11C 2600 |************************** 10C 2600 |************************** 9C 2600 |************************** 8C 2600 |************************** 7C 2600 |************************** 6C 2600 |************************** 5C 2700 |*************************** 4C 2800 |**************************** 3C 2900 |***************************** 2C 3100 |******************************* 1C 3100 |******************************* 5.2 SETUP ========= * The baseline is Linux v5.2 with schedutil (non-invariant) and the intel_pstate driver in passive mode. * The rationale for choosing the various freq_max values to test have been to try all the 1-2-3-4C turbo levels (note that 1C and 2C turbo are identical on all machines), plus one more value closer to base_freq but still in the turbo range (8C turbo for both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA). * In addition we've run all tests with intel_pstate/powersave for comparison. * The filesystem is always XFS, the userspace is openSUSE Leap 15.1. * 8x-SKYLAKE-UMA is capable of HWP (Hardware-Managed P-States), so the runs with active intel_pstate on this machine use that. This gives, in terms of combinations tested on each machine: * 8x-SKYLAKE-UMA * Baseline: Linux v5.2, non-invariant schedutil, intel_pstate passive * intel_pstate active + powersave + HWP * invariant schedutil, freq_max = 1C turbo * invariant schedutil, freq_max = 3C turbo * invariant schedutil, freq_max = 4C turbo * both 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA * [same as 8x-SKYLAKE-UMA, but no HWP capable] * invariant schedutil, freq_max = 8C turbo (which on 48x-HASWELL-NUMA is the same as 12C turbo, or "all cores turbo") 5.3 BENCHMARK RESULTS ===================== 5.3.1 NEUTRAL BENCHMARKS ------------------------ Tests that didn't show any measurable difference in performance on any of the test machines between non-invariant schedutil and our patch are: * NAS Parallel Benchmarks (NPB) using either MPI or openMP for IPC, any computational kernel * flexible I/O (FIO) * hackbench (using threads or processes, and using pipes or sockets) 5.3.2 NON-NEUTRAL BENCHMARKS ---------------------------- What follow are summary tables where each benchmark result is given a score. * A tilde (~) means a neutral result, i.e. no difference from baseline. * Scores are computed with the ratio result_new / result_baseline, so a tilde means a score of 1.00. * The results in the score ratio are the geometric means of results running the benchmark with different parameters (eg: for kernbench: using 1, 2, 4, ... number of processes; for pgbench: varying the number of clients, and so on). * The first three tables show higher-is-better kind of tests (i.e. measured in operations/second), the subsequent three show lower-is-better kind of tests (i.e. the workload is fixed and we measure elapsed time, think kernbench). * "gitsource" is a name we made up for the test consisting in running the entire unit tests suite of the Git SCM and measuring how long it takes. We take it as a typical example of shell-intensive serialized workload. * In the "I_PSTATE" column we have the results for intel_pstate/powersave. Other columns show invariant schedutil for different values of freq_max. 4C turbo is circled as it's the value we've chosen for the final implementation. 80x-BROADWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.14 ~ ~ | 1.11 | 1.14 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.06 ~ 1.06 | 1.05 | 1.07 netperf-tcp ~ 1.03 ~ | 1.01 | 1.02 tbench4 1.57 1.18 1.22 | 1.30 | 1.56 +------+ 8x-SKYLAKE-UMA (comparison ratio; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.30 1.14 1.14 | 1.16 | +------+ 48x-HASWELL-NUMA (comparison ratio; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.15 ~ ~ | 1.06 | 1.16 pgbench-rw ~ ~ ~ | ~ | ~ netperf-udp 1.05 0.97 1.04 | 1.04 | 1.02 netperf-tcp 0.96 1.01 1.01 | 1.01 | 1.01 tbench4 1.50 1.05 1.13 | 1.13 | 1.25 +------+ In the table above we see that active intel_pstate is slightly better than our 4C-turbo patch (both in reference to the baseline non-invariant schedutil) on read-only pgbench and much better on tbench. Both cases are notable in which it shows that lowering our freq_max (to 8C-turbo and 12C-turbo on 80x-BROADWELL-NUMA and 48x-HASWELL-NUMA respectively) helps invariant schedutil to get closer. If we ignore active intel_pstate and focus on the comparison with baseline alone, there are several instances of double-digit performance improvement. 80x-BROADWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 1.23 0.95 0.95 | 0.95 | 0.95 kernbench 0.93 0.83 0.83 | 0.83 | 0.82 gitsource 0.98 0.49 0.49 | 0.49 | 0.48 +------+ 8x-SKYLAKE-UMA (comparison ratio; lower is better) +------+ I_PSTATE/HWP 1C 3C | 4C | dbench4 ~ ~ ~ | ~ | kernbench ~ ~ ~ | ~ | gitsource 0.92 0.55 0.55 | 0.55 | +------+ 48x-HASWELL-NUMA (comparison ratio; lower is better) +------+ I_PSTATE 1C 3C | 4C | 8C dbench4 ~ ~ ~ | ~ | ~ kernbench 0.94 0.90 0.89 | 0.90 | 0.90 gitsource 0.97 0.69 0.69 | 0.69 | 0.69 +------+ dbench is not very remarkable here, unless we notice how poorly active intel_pstate is performing on 80x-BROADWELL-NUMA: 23% regression versus non-invariant schedutil. We repeated that run getting consistent results. Out of scope for the patch at hand, but deserving future investigation. Other than that, we previously ran this campaign with Linux v5.0 and saw the patch doing better on dbench a the time. We haven't checked closely and can only speculate at this point. On the NUMA boxes kernbench gets 10-15% improvements on average; we'll see in the detailed tables that the gains concentrate on low process counts (lightly loaded machines). The test we call "gitsource" (running the git unit test suite, a long-running single-threaded shell script) appears rather spectacular in this table (gains of 30-50% depending on the machine). It is to be noted, however, that gitsource has no adjustable parameters (such as the number of jobs in kernbench, which we average over in order to get a single-number summary score) and is exactly the kind of low-parallelism workload that benefits the most from this patch. When looking at the detailed tables of kernbench or tbench4, at low process or client counts one can see similar numbers. 5.3.3 SELECTION OF DETAILED RESULTS ----------------------------------- Machine : 48x-HASWELL-NUMA Benchmark : tbench4 (i.e. dbench4 over the network, actually loopback) Varying parameter : number of clients Unit : MB/sec (higher is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 126.73 +- 0.31% ( ) 315.91 +- 0.66% ( 149.28%) 125.03 +- 0.76% ( -1.34%) Hmean 2 258.04 +- 0.62% ( ) 614.16 +- 0.51% ( 138.01%) 269.58 +- 1.45% ( 4.47%) Hmean 4 514.30 +- 0.67% ( ) 1146.58 +- 0.54% ( 122.94%) 533.84 +- 1.99% ( 3.80%) Hmean 8 1111.38 +- 2.52% ( ) 2159.78 +- 0.38% ( 94.33%) 1359.92 +- 1.56% ( 22.36%) Hmean 16 2286.47 +- 1.36% ( ) 3338.29 +- 0.21% ( 46.00%) 2720.20 +- 0.52% ( 18.97%) Hmean 32 4704.84 +- 0.35% ( ) 4759.03 +- 0.43% ( 1.15%) 4774.48 +- 0.30% ( 1.48%) Hmean 64 7578.04 +- 0.27% ( ) 7533.70 +- 0.43% ( -0.59%) 7462.17 +- 0.65% ( -1.53%) Hmean 128 6998.52 +- 0.16% ( ) 6987.59 +- 0.12% ( -0.16%) 6909.17 +- 0.14% ( -1.28%) Hmean 192 6901.35 +- 0.25% ( ) 6913.16 +- 0.10% ( 0.17%) 6855.47 +- 0.21% ( -0.66%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 12C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hmean 1 128.43 +- 0.28% ( 1.34%) 130.64 +- 3.81% ( 3.09%) 153.71 +- 5.89% ( 21.30%) Hmean 2 311.70 +- 6.15% ( 20.79%) 281.66 +- 3.40% ( 9.15%) 305.08 +- 5.70% ( 18.23%) Hmean 4 641.98 +- 2.32% ( 24.83%) 623.88 +- 5.28% ( 21.31%) 906.84 +- 4.65% ( 76.32%) Hmean 8 1633.31 +- 1.56% ( 46.96%) 1714.16 +- 0.93% ( 54.24%) 2095.74 +- 0.47% ( 88.57%) Hmean 16 3047.24 +- 0.42% ( 33.27%) 3155.02 +- 0.30% ( 37.99%) 3634.58 +- 0.15% ( 58.96%) Hmean 32 4734.31 +- 0.60% ( 0.63%) 4804.38 +- 0.23% ( 2.12%) 4674.62 +- 0.27% ( -0.64%) Hmean 64 7699.74 +- 0.35% ( 1.61%) 7499.72 +- 0.34% ( -1.03%) 7659.03 +- 0.25% ( 1.07%) Hmean 128 6935.18 +- 0.15% ( -0.91%) 6942.54 +- 0.10% ( -0.80%) 7004.85 +- 0.12% ( 0.09%) Hmean 192 6901.62 +- 0.12% ( 0.00%) 6856.93 +- 0.10% ( -0.64%) 6978.74 +- 0.10% ( 1.12%) This is one of the cases where the patch still can't surpass active intel_pstate, not even when freq_max is as low as 12C-turbo. Otherwise, gains are visible up to 16 clients and the saturated scenario is the same as baseline. The scores in the summary table from the previous sections are ratios of geometric means of the results over different clients, as seen in this table. Machine : 80x-BROADWELL-NUMA Benchmark : kernbench (kernel compilation) Varying parameter : number of jobs Unit : seconds (lower is better) 5.2.0 vanilla (BASELINE) 5.2.0 intel_pstate 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 379.68 +- 0.06% ( ) 330.20 +- 0.43% ( 13.03%) 285.93 +- 0.07% ( 24.69%) Amean 4 200.15 +- 0.24% ( ) 175.89 +- 0.22% ( 12.12%) 153.78 +- 0.25% ( 23.17%) Amean 8 106.20 +- 0.31% ( ) 95.54 +- 0.23% ( 10.03%) 86.74 +- 0.10% ( 18.32%) Amean 16 56.96 +- 1.31% ( ) 53.25 +- 1.22% ( 6.50%) 48.34 +- 1.73% ( 15.13%) Amean 32 34.80 +- 2.46% ( ) 33.81 +- 0.77% ( 2.83%) 30.28 +- 1.59% ( 12.99%) Amean 64 26.11 +- 1.63% ( ) 25.04 +- 1.07% ( 4.10%) 22.41 +- 2.37% ( 14.16%) Amean 128 24.80 +- 1.36% ( ) 23.57 +- 1.23% ( 4.93%) 21.44 +- 1.37% ( 13.55%) Amean 160 24.85 +- 0.56% ( ) 23.85 +- 1.17% ( 4.06%) 21.25 +- 1.12% ( 14.49%) 5.2.0 3C-turbo 5.2.0 4C-turbo 5.2.0 8C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 2 284.08 +- 0.13% ( 25.18%) 283.96 +- 0.51% ( 25.21%) 285.05 +- 0.21% ( 24.92%) Amean 4 153.18 +- 0.22% ( 23.47%) 154.70 +- 1.64% ( 22.71%) 153.64 +- 0.30% ( 23.24%) Amean 8 87.06 +- 0.28% ( 18.02%) 86.77 +- 0.46% ( 18.29%) 86.78 +- 0.22% ( 18.28%) Amean 16 48.03 +- 0.93% ( 15.68%) 47.75 +- 1.99% ( 16.17%) 47.52 +- 1.61% ( 16.57%) Amean 32 30.23 +- 1.20% ( 13.14%) 30.08 +- 1.67% ( 13.57%) 30.07 +- 1.67% ( 13.60%) Amean 64 22.59 +- 2.02% ( 13.50%) 22.63 +- 0.81% ( 13.32%) 22.42 +- 0.76% ( 14.12%) Amean 128 21.37 +- 0.67% ( 13.82%) 21.31 +- 1.15% ( 14.07%) 21.17 +- 1.93% ( 14.63%) Amean 160 21.68 +- 0.57% ( 12.76%) 21.18 +- 1.74% ( 14.77%) 21.22 +- 1.00% ( 14.61%) The patch outperform active intel_pstate (and baseline) by a considerable margin; the summary table from the previous section says 4C turbo and active intel_pstate are 0.83 and 0.93 against baseline respectively, so 4C turbo is 0.83/0.93=0.89 against intel_pstate (~10% better on average). There is no noticeable difference with regard to the value of freq_max. Machine : 8x-SKYLAKE-UMA Benchmark : gitsource (time to run the git unit test suite) Varying parameter : none Unit : seconds (lower is better) 5.2.0 vanilla 5.2.0 intel_pstate/hwp 5.2.0 1C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 858.85 +- 1.16% ( ) 791.94 +- 0.21% ( 7.79%) 474.95 ( 44.70%) 5.2.0 3C-turbo 5.2.0 4C-turbo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Amean 475.26 +- 0.20% ( 44.66%) 474.34 +- 0.13% ( 44.77%) In this test, which is of interest as representing shell-intensive (i.e. fork-intensive) serialized workloads, invariant schedutil outperforms intel_pstate/powersave by a whopping 40% margin. 5.3.4 POWER CONSUMPTION, PERFORMANCE-PER-WATT --------------------------------------------- The following table shows average power consumption in watt for each benchmark. Data comes from turbostat (package average), which in turn is read from the RAPL interface on CPUs. We know the patch affects CPU frequencies so it's reasonable to ignore other power consumers (such as memory or I/O). Also, we don't have a power meter available in the lab so RAPL is the best we have. turbostat sampled average power every 10 seconds for the entire duration of each benchmark. We took all those values and averaged them (i.e. with don't have detail on a per-parameter granularity, only on whole benchmarks). 80x-BROADWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 8C pgbench-ro 130.01 142.77 131.11 132.45 | 134.65 | 136.84 pgbench-rw 68.30 60.83 71.45 71.70 | 71.65 | 72.54 dbench4 90.25 59.06 101.43 99.89 | 101.10 | 102.94 netperf-udp 65.70 69.81 66.02 68.03 | 68.27 | 68.95 netperf-tcp 88.08 87.96 88.97 88.89 | 88.85 | 88.20 tbench4 142.32 176.73 153.02 163.91 | 165.58 | 176.07 kernbench 92.94 101.95 114.91 115.47 | 115.52 | 115.10 gitsource 40.92 41.87 75.14 75.20 | 75.40 | 75.70 +--------+ 8x-SKYLAKE-UMA (power consumption, watts) +--------+ BASELINE I_PSTATE/HWP 1C 3C | 4C | pgbench-ro 46.49 46.68 46.56 46.59 | 46.52 | pgbench-rw 29.34 31.38 30.98 31.00 | 31.00 | dbench4 27.28 27.37 27.49 27.41 | 27.38 | netperf-udp 22.33 22.41 22.36 22.35 | 22.36 | netperf-tcp 27.29 27.29 27.30 27.31 | 27.33 | tbench4 41.13 45.61 43.10 43.33 | 43.56 | kernbench 42.56 42.63 43.01 43.01 | 43.01 | gitsource 13.32 13.69 17.33 17.30 | 17.35 | +--------+ 48x-HASWELL-NUMA (power consumption, watts) +--------+ BASELINE I_PSTATE 1C 3C | 4C | 12C pgbench-ro 128.84 136.04 129.87 132.43 | 132.30 | 134.86 pgbench-rw 37.68 37.92 37.17 37.74 | 37.73 | 37.31 dbench4 28.56 28.73 28.60 28.73 | 28.70 | 28.79 netperf-udp 56.70 60.44 56.79 57.42 | 57.54 | 57.52 netperf-tcp 75.49 75.27 75.87 76.02 | 76.01 | 75.95 tbench4 115.44 139.51 119.53 123.07 | 123.97 | 130.22 kernbench 83.23 91.55 95.58 95.69 | 95.72 | 96.04 gitsource 36.79 36.99 39.99 40.34 | 40.35 | 40.23 +--------+ A lower power consumption isn't necessarily better, it depends on what is done with that energy. Here are tables with the ratio of performance-per-watt on each machine and benchmark. Higher is always better; a tilde (~) means a neutral ratio (i.e. 1.00). 80x-BROADWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 8C pgbench-ro 1.04 1.06 0.94 | 1.07 | 1.08 pgbench-rw 1.10 0.97 0.96 | 0.96 | 0.97 dbench4 1.24 0.94 0.95 | 0.94 | 0.92 netperf-udp ~ 1.02 1.02 | ~ | 1.02 netperf-tcp ~ 1.02 ~ | ~ | 1.02 tbench4 1.26 1.10 1.06 | 1.12 | 1.26 kernbench 0.98 0.97 0.97 | 0.97 | 0.98 gitsource ~ 1.11 1.11 | 1.11 | 1.13 +------+ 8x-SKYLAKE-UMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE/HWP 1C 3C | 4C | pgbench-ro ~ ~ ~ | ~ | pgbench-rw 0.95 0.97 0.96 | 0.96 | dbench4 ~ ~ ~ | ~ | netperf-udp ~ ~ ~ | ~ | netperf-tcp ~ ~ ~ | ~ | tbench4 1.17 1.09 1.08 | 1.10 | kernbench ~ ~ ~ | ~ | gitsource 1.06 1.40 1.40 | 1.40 | +------+ 48x-HASWELL-NUMA (performance-per-watt ratios; higher is better) +------+ I_PSTATE 1C 3C | 4C | 12C pgbench-ro 1.09 ~ 1.09 | 1.03 | 1.11 pgbench-rw ~ 0.86 ~ | ~ | 0.86 dbench4 ~ 1.02 1.02 | 1.02 | ~ netperf-udp ~ 0.97 1.03 | 1.02 | ~ netperf-tcp 0.96 ~ ~ | ~ | ~ tbench4 1.24 ~ 1.06 | 1.05 | 1.11 kernbench 0.97 0.97 0.98 | 0.97 | 0.96 gitsource 1.03 1.33 1.32 | 1.32 | 1.33 +------+ These results are overall pleasing: in plenty of cases we observe performance-per-watt improvements. The few regressions (read/write pgbench and dbench on the Broadwell machine) are of small magnitude. kernbench loses a few percentage points (it has a 10-15% performance improvement, but apparently the increase in power consumption is larger than that). tbench4 and gitsource, which benefit the most from the patch, keep a positive score in this table which is a welcome surprise; that suggests that in those particular workloads the non-invariant schedutil (and active intel_pstate, too) makes some rather suboptimal frequency selections. +-------------------------------------------------------------------------+ | 6. MICROARCH'ES ADDRESSED HERE +-------------------------------------------------------------------------+ The patch addresses Xeon Core processors that use MSR_PLATFORM_INFO and MSR_TURBO_RATIO_LIMIT to advertise their base frequency and turbo frequencies respectively. This excludes the recent Xeon Scalable Performance processors line (Xeon Gold, Platinum etc) whose MSRs have to be parsed differently. Subsequent patches will address: * Xeon Scalable Performance processors and Atom Goldmont/Goldmont Plus * Xeon Phi (Knights Landing, Knights Mill) * Atom Silvermont +-------------------------------------------------------------------------+ | 7. REFERENCES +-------------------------------------------------------------------------+ Tests have been run with the help of the MMTests performance testing framework, see github.com/gormanm/mmtests. The configuration file names for the benchmark used are: db-pgbench-timed-ro-small-xfs db-pgbench-timed-rw-small-xfs io-dbench4-async-xfs network-netperf-unbound network-tbench scheduler-unbound workload-kerndevel-xfs workload-shellscripts-xfs hpc-nas-c-class-mpi-full-xfs hpc-nas-c-class-omp-full All those benchmarks are generally available on the web: pgbench: https://www.postgresql.org/docs/10/pgbench.html netperf: https://hewlettpackard.github.io/netperf/ dbench/tbench: https://dbench.samba.org/ gitsource: git unit test suite, github.com/git/git NAS Parallel Benchmarks: https://www.nas.nasa.gov/publications/npb.html hackbench: https://people.redhat.com/mingo/cfs-scheduler/tools/hackbench.c Suggested-by: Peter Zijlstra <peterz@infradead.org> Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Signed-off-by: Ingo Molnar <mingo@kernel.org> Acked-by: Doug Smythies <dsmythies@telus.net> Acked-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200122151617.531-2-ggherdovich@suse.cz
2020-01-22 15:16:12 +00:00
if (freq_scale > SCHED_CAPACITY_SCALE)
freq_scale = SCHED_CAPACITY_SCALE;
this_cpu_write(arch_freq_scale, freq_scale);
x86, sched: check for counters overflow in frequency invariant accounting The product mcnt * arch_max_freq_ratio can overflows u64. For context, a large value for arch_max_freq_ratio would be 5000, corresponding to a turbo_freq/base_freq ratio of 5 (normally it's more like 1500-2000). A large increment frequency for the MPERF counter would be 5GHz (the base clock of all CPUs on the market today is less than that). With these figures, a CPU would need to go without a scheduler tick for around 8 days for the u64 overflow to happen. It is unlikely, but the check is warranted. Under similar conditions, the difference acnt of two consecutive APERF readings can overflow as well. In these circumstances is appropriate to disable frequency invariant accounting: the feature relies on measures of the clock frequency done at every scheduler tick, which need to be "fresh" to be at all meaningful. A note on i386: prior to version 5.1, the GCC compiler didn't have the builtin function __builtin_mul_overflow. In these GCC versions the macro check_mul_overflow needs __udivdi3() to do (u64)a/b, which the kernel doesn't provide. For this reason this change fails to build on i386 if GCC<5.1, and we protect the entire frequency invariant code behind CONFIG_X86_64 (special thanks to "kbuild test robot" <lkp@intel.com>). Fixes: 1567c3e3467c ("x86, sched: Add support for frequency invariance") Signed-off-by: Giovanni Gherdovich <ggherdovich@suse.cz> Signed-off-by: Peter Zijlstra (Intel) <peterz@infradead.org> Reviewed-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com> Link: https://lkml.kernel.org/r/20200531182453.15254-2-ggherdovich@suse.cz
2020-05-31 18:24:51 +00:00
return;
error:
pr_warn("Scheduler frequency invariance went wobbly, disabling!\n");
schedule_work(&disable_freq_invariance_work);
}
#endif /* CONFIG_X86_64 */