Vignesh Balasubramanian 4ec2bad744 Updating reduction step of AVX512 DNRM2 API
- Updated the final reduction of partial sums to use scalar accumulation
  entirely, instead of using the _mm512_reduce_add_pd( ... ) intrinsic.
  This will in turn change the associativity and the rounding-off
  pattern in the reduction step.

- Defined a union data-type to do the same, by having a 512-bit
  register and a double-precision array as its members.

- Updated the declaration and usage of the register variable according
  to the union definition, for uniformity.

AMD-Internal: [CPUPL-5472]
Change-Id: I997464a6ec47e4054dca48a000fbd4ac0cfcc679
2024-08-01 17:09:17 +05:30
2024-07-31 12:23:34 -04:00
2024-07-31 12:23:34 -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
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2023-11-23 08:54:31 -05:00
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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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