Meghana Vankadari 3a71550bc3 Enabling SUP blocksizes & kernels for generic config
Details:
- pack and compute extension APIs derive blocksizes(MR, NR...) from
  SUP cntx.
- SUP blocksizes are not set for generic/skx configs. As a result pack
  and compute APIs cause floating point exceptions.
- To fix these issues, we have enabled non-zero SUP blocksizes for
  generic config and zen4 SUP blocksizes for skx config.
- However, these changes will not enable SUP path for skx/generic config
  as thresholds are set to zero.
- To enable SUP path for skx config, more work is needed like non-zero
  thresholds and modifications to build system.

Change-Id: I54483ab0c196845ca175b8cb8deeb9e9ac2a42b9
2023-10-12 05:27:10 -04:00
2023-09-11 08:42:11 -04:00
2019-05-23 12:51:17 -05:00
2021-07-02 01:20:01 -04:00
2019-10-02 10:16:22 +01:00
2019-08-21 17:40:24 -05:00
2021-03-22 17:42:33 -05:00
2023-10-09 07:24:21 -04:00
2018-08-07 14:21:07 -05:00
2022-05-17 18:10:39 +05:30
2023-05-25 14:46:33 +00:00
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2023-08-08 07:27:41 -04:00

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
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