From 3f5eaeab72f918613671b29b685487261269558f Mon Sep 17 00:00:00 2001 From: luoyu-intel Date: Thu, 22 Aug 2024 11:35:50 +0800 Subject: [PATCH] update doc --- docs/backend/SYCL.md | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/docs/backend/SYCL.md b/docs/backend/SYCL.md index 59a39fbb6..e838b2be6 100644 --- a/docs/backend/SYCL.md +++ b/docs/backend/SYCL.md @@ -20,7 +20,7 @@ **oneAPI** is an open ecosystem and a standard-based specification, supporting multiple architectures including but not limited to intel CPUs, GPUs and FPGAs. The key components of the oneAPI ecosystem include: - **DPCPP** *(Data Parallel C++)*: The primary oneAPI SYCL implementation, which includes the icpx/icx Compilers. -- **oneAPI Libraries**: A set of highly optimized libraries targeting multiple domains *(e.g. oneMKL - Math Kernel Library)*. +- **oneAPI Libraries**: A set of highly optimized libraries targeting multiple domains *(e.g. oneMKL and oneDNN)*. - **oneAPI LevelZero**: A high performance low level interface for fine-grained control over intel iGPUs and dGPUs. - **Nvidia & AMD Plugins**: These are plugins extending oneAPI's DPCPP support to SYCL on Nvidia and AMD GPU targets. @@ -28,10 +28,6 @@ The llama.cpp SYCL backend is designed to support **Intel GPU** firstly. Based on the cross-platform feature of SYCL, it could support other vendor GPUs: Nvidia GPU (*AMD GPU coming*). -When targeting **Intel CPU**, it is recommended to use llama.cpp for [Intel oneMKL](README.md#intel-onemkl) backend. - -It has the similar design of other llama.cpp BLAS-based paths such as *OpenBLAS, cuBLAS, etc..*. In beginning work, the oneAPI's [SYCLomatic](https://github.com/oneapi-src/SYCLomatic) open-source migration tool (Commercial release [Intel® DPC++ Compatibility Tool](https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compatibility-tool.html)) was used for this purpose. - ## Recommended Release The SYCL backend would be broken by some PRs due to no online CI. @@ -45,6 +41,10 @@ The following release is verified with good quality: ## News + +- 2024.8 + - Use oneDNN as the default GEMM library, improve the compatibility for new Intel GPUs. + - 2024.5 - Performance is increased: 34 -> 37 tokens/s of llama-2-7b.Q4_0 on Arc770. - Arch Linux is verified successfully. @@ -196,7 +196,7 @@ Please follow the instructions for downloading and installing the Toolkit for Li Following guidelines/code snippets assume the default installation values. Otherwise, please make sure the necessary changes are reflected where applicable. -Upon a successful installation, SYCL is enabled for the available intel devices, along with relevant libraries such as oneAPI MKL for intel GPUs. +Upon a successful installation, SYCL is enabled for the available intel devices, along with relevant libraries such as oneAPI oneDNN for Intel GPUs. - **Adding support to Nvidia GPUs** @@ -255,8 +255,6 @@ or # Export relevant ENV variables source /opt/intel/oneapi/setvars.sh -# Build LLAMA with MKL BLAS acceleration for intel GPU - # Option 1: Use FP32 (recommended for better performance in most cases) cmake -B build -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx