sireesha.sanga b4612a0ec9 AOCL LPGEMM Enhancements
- Improved performance of all existing API's

- Improved smart threading for all API's16|s32

- Added new LPGEMM API's
   aocl_gemm_S8S8S32o<s32|S8>,
   aocl_gemm_s8s8s16o<s16|s8>,
   aocl_gemm_bf16s4f32o<f32|bf16>

- Added TransA, TransB support of all AVX512 API's16|s32

- Added JIT-baseed micro-kernel for bf16 to support
gcc compiler version less than 11.2

- Developed optimal LPGEMV kernels for m=1 or n=1
inputs instead of GEMM path.

- Added below support for SWISH, mat_add, mat_mul
post-ops and multiple same post-ops support feature.

- Fixed few functional and performance bugs.
2024-08-12 13:44:08 +00:00
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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.

Description
BLAS-like Library Instantiation Software Framework
Readme BSD-3-Clause 70 MiB
Languages
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C++ 9.7%
Fortran 1.9%
Makefile 0.8%
MATLAB 0.4%
Other 0.9%