ea0324ab95
Downscaling is used when GEMM output is accumulated at a higher precision and needs to be converted to a lower precision afterwards. Currently the u8s8s16 flavor of api only supports downscaling to s8 (int8_t) via aocl_gemm_u8s8s16os8 after results are accumulated at int16_t. LPGEMM is modified to support downscaling to different data types, like u8, s16, apart from s8. The framework (5 loop) passes the downscale data type to the micro-kernels. Within the micro-kernel, based on the downscale type, appropriate beta scaling and output buffer store logic is executed. This support is only enabled for u8s8s16 flavor of api's. The LPGEMM bench is also modified to support passing downscale data type for performance and accuracy testing. AMD-Internal: [SWLCSG-2313] Change-Id: I723d0802baf8649e5e41236b239880a6043bfd30
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.