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- In GEMV variant 1, the input matrix A is in row major. X vector has to be of unit stride if the operation is to be vectorized. - In cases when X vector is non-unit stride, vectorization of the GEMV operation inside the kernel has been ensured by packing the input X vector to a temporary buffer with unit stride. Currently, the packing is done using the SCAL2V. - In case of DGEMV, X vector is scaled by alpha as part of packing. In CGEMV and ZGEMV, alpha is passed as 1 while packing. - The temporary buffer created is released once the GEMV operation is complete. - In DGEMV variant 1, moved problem decomposition for Zen architecture to the DOTXF kernel. - Removed flag check based kernel dispatch logic from DGEMV. Now, kernels will be picked from the context for non-avx machines. For avx machines, the kernel(s) to be dispatched is(are) assigned to the function pointer in the unf_var layer. AMD-Internal: [CPUPL-3475] Change-Id: Icd9fd91eccd831f1fcb9fbf0037fcbbc2e34268e
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.