Vignesh Balasubramanian b48e864e82 AVX512 optimizations for DAXPBYV API
- Implemented AVX512 computational kernel for DAXPBYV
  with optimal unrolling. Further implemented the other
  missing kernels that would be required to decompose
  the computation in special cases, namely the AVX512
  DADDV and DSCAL2V kernels.

- Updated the zen4 and zen5 contexts to ensure any query
  to acquire the kernel pointer for DAXPBYV returns the
  address of the new kernel.

- Added micro-kernel units tests to GTestsuite to check
  for functionality and out-of-bounds reads and writes.

AMD-Internal: [CPUPL-5406][CPUPL-5421]
Change-Id: I127ab21174ddd9e6de2c30a320e62a8b042cbde6
2024-07-22 11:32:19 +05:30
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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C++ 9.5%
Fortran 1.9%
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