73911d5990
- The current build systems have the following behaviour
with regards to building "aocl_gemm" addon codebase(LPGEMM)
when giving "amdzen" as the target architecture(fat-binary)
- Make: Attempts to compile LPGEMM kernels using the same
compiler flags that the makefile fragments set for BLIS
kernels, based on the compiler version.
- CMake: With presets, it always enables the addon compilation
unless explicitly specified with the ENABLE_ADDON variable.
- This poses a bug with older compilers, owing to them not supporting
BF16 or INT8 intrinsic compilation.
- This patch adds the functionality to check for GCC and Clang compiler versions,
and disables LPGEMM compilation if GCC < 11.2 or Clang < 12.0.
- Make: Updated the configure script to check for the compiler version
if the addon is specified.
CMake: Updated the main CMakeLists.txt to check for the compiler version
if the addon is specified, and to also force-update the associated
cache variable update. Also updated kernels/CMakeLists.txt to
check if "aocl_gemm" remains in the ENABLE_ADDONS list after
all the checks in the previous layers.
AMD-Internal: [CPUPL-7850]
Signed-off by : Vignesh Balasubramanian <Vignesh.Balasubramanian@amd.com>
AOCL-BLAS library
AOCL-BLAS is AMD's optimized version of BLAS targeted for AMD EPYC and Ryzen CPUs. It is developed as a forked version of BLIS (https://github.com/flame/blis), which is developed by members of the Science of High-Performance Computing (SHPC) group in the Institute for Computational Engineering and Sciences at The University of Texas at Austin and other collaborators (including AMD). All known features and functionalities of BLIS are retained and supported in AOCL-BLAS library. AOCL-BLAS is regularly updated with the improvements from the upstream repository.
AOCL BLAS is optimized with SSE2, AVX2, AVX512 instruction sets which would be enabled based on the target Zen architecture using the dynamic dispatch feature. All prominent Level 3, Level 2 and Level 1 APIs are designed and optimized for specific paths targeting different size spectrums e.g., Small, Medium and Large sizes. These algorithms are designed and customized to exploit the architectural improvements of the target platform.
For detailed instructions on how to configure, build, install, and link against AOCL-BLAS on AMD CPUs, please refer to the AOCL User Guide located on AMD developer portal.
The upstream repository (https://github.com/flame/blis) contains further information on BLIS, including background information on BLIS design, usage examples, and a complete BLIS API reference.
AOCL-BLAS is developed and maintained by AMD. You can contact us on the email-id toolchainsupport@amd.com. You can also raise any issue/suggestion on the git-hub repository at https://github.com/amd/blis/issues.