75df1ef218
- This change in made in CMAKE build system only. - Removed -fno-tree-loop-vectorize from global kernel flags, instead added it to lpgemm specific kernels only. - If this flag is not used , then gcc tries to auto vectorize the code which results in usages of vector registers, if the auto vectorized function is using intrinsics then the total numbers of vector registers used by intrinsic and auto vectorized code becomes more than the registers available in machine which causes read and writes to stack, which is causing regression in lpgemm. - If this flag is enabled globally, then the files which do not use any intrinsic code do not get auto vectorized. - To get optimal performance for both blis and lpgemm, this flag is enabled for lpgemm kernels only. Change-Id: I14e5c18cd53b058bfc9d764a8eaf825b4d0a81c4
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.