Vignesh Balasubramanian 16aaafc8ec Added memory testing for DAXPY, DAXPBY and DCOPY kernels.
- Utilized the memory testing feature in GTestsuite
   to update the testing interfaces for micro-kernel
   testing of DAXPY, DAXPBY and DCOPY APIs.

 - The interface allocates memory using objects of
   ProtectedBuffer class, which define the redzones
   and greenzones as per the requirement.

 - Updated the test fixture classes, test-case loggers and
   the instantiators to use the new testing interface for
   memory testing.

 - Added special cases of alpha and beta values to API
   level functionality tests, to check for any possible
   framework level optimizations against the standard.

 - Code cleanup of ?_generic.cpp and ?_evt_testing.cpp
   files of DAXPY, DAXPBY and DCOPY APIs.

AMD-Internal: [CPUPL-4402]
Change-Id: Id945cabbbb42604d76a9e34269bff0f9f6712604
2024-02-23 09:06:08 -05:00
2019-05-23 12:51:17 -05:00
2023-11-23 08:54:31 -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
2023-11-23 08:54:31 -05:00
2024-01-25 04:31:25 -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
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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 72 MiB
Languages
C 86.3%
C++ 9.5%
Fortran 1.9%
Makefile 0.8%
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