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- Updated the existing code-path for ?AXPBYV to reroute the inputs to the appropriate L1 kernel, based on the alpha and beta value. This is done in order to utilize sensible optimizations with regards to the compute and memory operations. - Updated the typed API interface for ?AXPBYV to include an early exit condition(when n is 0, or when alpha is 0 and beta is 1). Further updated this layer to query the right kernel from context, based on the input values of alpha and beta. - Added the necessary L1 vector kernels(i.e, ?SETV, ?ADDV, ?SCALV, ?SCAL2V and ?COPYV) to be used as part of special case handling in ?AXPBYV. - Moved the early return with negative increments from ?SCAL2V kernels to its typed API interface. - Updated the zen, zen2 and zen3 context to include function pointers for all these vector kernels. - Updated the existing ?AXPBYV vector kernels to handle only the required computation. Additional cleanup was done to these kernels. - Added accuracy and memory tests for AVX2 kernels of ?SETV ?COPYV, ?ADDV, ?SCALV, ?SCAL2V, ?AXPYV and ?AXPBYV APIs - Updated the existing thresholds in ?AXPBYV tests for complex types. This is due to the fact that every complex multiplication involves two mul ops and one add op. Further added test-cases for API level accuracy check, that includes special cases of alpha and beta. - Decomposed the reference call to ?AXPBYV with several other L1 BLAS APIs(in case of the reference not supporting its own ?AXPBYV API). The decomposition is done to match the exact operations that is done in BLIS based on alpha and/or beta values. This ensures that we test for our own compliance. AMD-Internal: [CPUPL-4861] Change-Id: Ia6d48f12f059f52b31c0bef6c75f47fd364952c6
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.