vignbala 236d092656 AVX512 optimizations for ZGEMM to handle k = 1 cases
- Implemented bli_zgemm_16x4_avx512_k1_nn( ... ) AVX512 kernel to
  be used as part of BLAS/CBLAS calls to ZGEMM. The kernel is built
  for handling the GEMM computation with inputs having k = 1,
  with the transpose values being N(for column-major) and T(for
  row-major).

- Updated the zgemm_blis_impl( ... ) layer to query the architecture
  ID and invoke the AVX2 or AVX512 kernel accordingly.

- Added API level tests for accuracy and code-coverage, as well as
  micro-kernel tests for verifying functionality and out-of-bounds
  memory accesses.

AMD-Internal: [CPUPL-5249]
Change-Id: Id1f8bebff3e0da83c7febe86299564fd658b2e84
2024-07-09 07:07:24 -04:00
2024-07-09 00:54:03 -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
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