02da190560
- Implemented bli_dnorm2fv_unb_var1_avx512( ... ) AVX512 computational kernel for DNRM2 API. - Updated the header to include this kernel signature, as well as the framework layer to use this function in case of ZEN4 and ZEN5 configurations. - Updated the tipping points for ideal thread setting in DNRM2 for ZEN5 micro-architecture. These thresholds are specific to the library's linkage to LLVM's OpenMP or GNU's OpenMp. - Further abstracted the AOCL-DYNAMIC logic to separate functions for ?NRM2 APIs that currently support it(namely, DNRM2 and ZNRM2). - Further updated the ?NRM2 framework to accommodate the necessary changes to invoke the newer AOCL-DYNAMIC functions and the AVX512 kernel, when needed. - Added micro-kernel and memory tests for this kernel in GTestsuite, to validate accuracy and out-of-bounds read and write. AMD-Internal: [CPUPL-5265] Change-Id: I4fc0d0f1e6906bf27d46562ca387c338cc4d2049
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.