Hari Govind 9c26de1a18 Optimisiation COPYV APIs
- Implemented AVX512 kernels for scopyv_, dcopyv_ and  zcopyv_
  using respective AVX512 intrinsics including masked
  load and store operations.

- Implemented AVX512 kernels for scopy_, dcopy_ and
  zcopy_ using assembly language to prevent loss of
  performance during the translation of intrinsics.

- Updated the dcopy_blis_impl( ... ) and
  zcopy_blis_impl( ... ) function to support
  multithreaded calls to the respective computational
  kernels, if and when the OpenMP support is enabled.

- Implemented OpenMP parallelization for dcopyv_ and
  zcopyv_ APIs, while scopyv_ and ccopyv_ only support
  single thread.

AMD-Internal: [CPUPL-4854]
Change-Id: I5fbd0bcca4e59001fbe2b1168b624d0c33242b3e
2024-05-01 00:23:01 +05:30
2024-05-01 00:23:01 +05:30
2024-05-01 00:23:01 +05:30
2024-05-01 00:23:01 +05:30
2019-05-23 12:51:17 -05:00
2023-11-23 08:54:31 -05:00
2019-10-02 10:16:22 +01:00
2021-03-22 17:42:33 -05:00
2023-11-10 13:05:12 -05:00
2018-08-07 14:21:07 -05:00
2023-11-23 08:54:31 -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 72 MiB
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Fortran 1.9%
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