Vignesh Balasubramanian cec9fdcc6e Framework enhancements for ?AXPBYV APIs
- Implemented a new front-end for the BLAS/CBLAS calls
  to ?AXPBYV(BLAS-extension API), that is intended to
  be compiled only on Zen micro-architectures(as per the
  existing build system).

- This new front-end makes the framework lightweight for
  BLAS/CBLAS calls to ?AXPBYV, by directly querying the
  architecture ID and deploying the associated computational
  kernel.

- Further updated the rerouting to other L1 kernels based
  on alpha and beta value. This was initially present in
  the Typed-API interface. It has been moved inside the
  respective kernels, and only necessary rerouting is done
  to specific L1 kernels to avoid redundant checks.

AMD-Internal: [CPUPL-5406]
Change-Id: I4af943d477a25dcdab4ee6009ad3dfa6a5c2b37e
2024-07-18 10:06:31 -04:00
2024-07-15 07:17:43 -04:00
2024-07-15 07:17:43 -04:00
2019-05-23 12:51:17 -05:00
2021-10-05 14:24:17 -05:00
2019-10-02 10:16:22 +01:00
2021-10-06 10:22:34 -05:00
2021-03-22 17:42:33 -05:00
2024-07-08 06:09:11 -04:00
2018-08-07 14:21:07 -05:00
2023-11-23 08:54:31 -05:00
2024-06-25 05:48:46 -04:00
2023-05-25 14:46:33 +00:00

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 72 MiB
Languages
C 86.3%
C++ 9.5%
Fortran 1.9%
Makefile 0.8%
MATLAB 0.5%
Other 0.9%