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- Updated the thresholds to enter the AVX512 SUP codepath in ZGEMM(on ZEN5). This caters to inputs that scale well with multithreaded-execution(in the SUP path). - Also updated the thresholds to decide ideal threads, based on 'm', 'n' and 'k' values. The thread-setting logic involves determining the number of tiles for computation, and using them to further tune for the optimal number of threads. - This logic builds over the assumption that the current thread factorization logic is optimal. Thus, an additional data analysis was performed(on the existing ZEN4 and the new ZEN5 thresholds), to also cover the corner cases, where this assumption doesn't hold true. - As part of the future work, we could reimplement the thread factorization for GEMM, which would additionally require a new set of threshold tuning for every datatype. AMD-Internal: [CPUPL-7028] Co-authored-by: Vignesh Balasubramanian <vignbala@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.