Shubham Sharma b3b56ae3bb BugFix: Fixed GEMM mixed precision failure in ZEN5
- Optimized DGEMM macro kernel does not
  support mixed precision.
- This kernel was being used for solving
  some of the mixed precision problems.
- Currently only ( bli_obj_elem(A) == 8 ) is used for checking
  if the problem being solved is mixed precision.
- bli_obj_elem(A) will be equal to 8 for both double precision
  data type and mixed precision case single-complex.
- Added extra checks (bli_obj_is_real( a )) to make sure that
  A and B are real and DGEMM macro kernel is being used only
  for DDDGEMM.

AMD-Internal: [CPUPL-5804]
Change-Id: Iaa1accf8d851d11533f8ba31dc0235fbc14f89a9
2024-09-19 04:54:53 -04:00
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2019-05-23 12:51:17 -05:00
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2021-10-05 14:24:17 -05:00
2019-10-02 10:16:22 +01:00
2021-10-06 10:22:34 -05:00
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2021-03-22 17:42:33 -05:00
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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 72 MiB
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