09e34fd2bd
1. Two CGEMM function pointers are added for different storage schemes
1. bli_cgemmsup_rv_zen_asm_3x8m
2. bli_cgemmsup_rv_zen_asm_3x8n
2. In previous commit:
(Level-3 triangular routines now use different block sizes and kernels
Commit Id: 79e174ff0a)
1. bli_cntx_set_l3_sup_tri_kers cntx function was created
2. Function holds optimised function pointers for GEMMT/SYRK API's
3. It avoids over riding default block sizes which improves the
performance
4. This function did not include optimised CGEMM function pointers
leading to regression as reference kernels were invoked
3. With this commit, 2 optimized CGEMM function pointers are added in
bli_cntx_set_l3_sup_tri_kers
1. This fixes the regression as optimized CGEMM functions are invoked
AMD-Internal: [CPUPL-3831] [CPUPL-3830]
Change-Id: Ie8b41a5e62439de2a65e7df0b07d63ee2383e51e
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.