Smyth, Edward 8a8d3f43d5 Improve consistency of optimized BLAS3 code (#64)
* Improve consistency of optimized BLAS3 code

Tidy AMD optimized GEMM and TRSM framework code to reduce
differences between different data type variants:
- Improve consistency of code indentation and white space
- Added some missing AOCL_DTL calls
- Removed some dead code
- Consistent naming of variables for function return status
- GEMM: More consistent early return when k=1
- Correct data type of literal values used for single precision data

In kernels/zen/3/bli_gemm_small.c and bli_family_*.h files:
- Set default values for thresholds if not set in the relevant
  bli_family_*.h file
- Remove unused definitions and commented out code

AMD-Internal: [CPUPL-6579]
2025-07-01 09:29:52 +01:00
2025-02-07 05:03:49 -05:00
2024-08-05 16:18:51 -04:00
2019-05-23 12:51:17 -05:00
2024-08-05 15:35:08 -04:00
2025-02-07 05:41:44 -05:00
2024-08-05 15:35:08 -04:00
2021-10-05 14:24:17 -05:00
2019-10-02 10:16:22 +01:00
2021-10-06 10:22:34 -05:00
2024-08-22 07:55:55 -04:00
2021-03-22 17:42:33 -05:00
2025-03-11 11:59:02 +00:00
2024-07-08 06:09:11 -04:00
2018-08-07 14:21:07 -05:00
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 71 MiB
Languages
C 86.2%
C++ 9.7%
Fortran 1.9%
Makefile 0.8%
MATLAB 0.4%
Other 0.9%