8649cdc14b
Details: - In FP32 GEMM, when threading is disabled, rntm_pack_a and rntm_pack_b were set to true by default. This leads to perf regression for smaller sizes. Modified FP32 interface API to not overwrite the packA and packB variables in rntm structure. - In FP32 GEMV, Removed the decision making code based on mtag_A/B and should_pack_A/B for packing. Matrices will be packed only if the storage format of the matrices doesn't match the storage format required by the kernel. - Changed the control flow of checking the value of mtag to whether matrix is "reordered" or "to-be-packed" or "unpacked". checking for "reorder" first, followed by "pack". This will ensure that packing doesn't happen when the matrix is already reordered even though user forces packing by setting "BLIS_PACK_A/B" -Modified python script to generate testcases based on block sizes AMD-Internal: SWLCSG-3527
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.