a6a67fea2d
- Updated the bli_zaxpbyv_zen_int( ... ) kernel's computational logic. The kernel performs two different sets of compute based on the value of alpha, for both unit and non-unit strides. There are no constraints on beta scaling of the 'y' vector. - Updated the logic to support 'x' conjugate in the computation. The kernel supports conjugate/no conjugate operation through the usage of _mm256_fmsubadd_pd( ... ) and _mm256_addsub_pd( ... ) intrinsics. - Updated the early return condition in the kernel to adhere to the standard compliance. - Updated the scalar computation with vector computation(using 128 bit registers), in case of dealing with a single element(fringe case) in unit-stride or vectors with non-unit strides. A single dcomplex element occupies 128 bits in memory, thereby providing scope for this optimization. - Added accuracy and extreme value testing with sufficient sizes and initializations, to test the required main and fringe cases of the computation. AMD-Internal: [CPUPL-3623] Change-Id: I7ae918856e7aba49424162290f3e3d592c244826
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.