Sharma, Arnav ee3d250b7a Fix for F32 to BF16 Conversion and AVX512 ISA Support Checks
- Fixed register assignment bug in lpgemv_m_kernel_f32_avx512 where zmm3
  was incorrectly used instead of zmm4 in BF16_F32_BETA_OP_NLT16F_MASK macro.

- Replaced hardware-specific BF16 conversion intrinsics with manual
  rounding, bit manipulation and F32 instruction set for compatibility on
  hardware without native BF16 support.

- Added AVX512_BF16 ISA support checks for s8s8s32obf16 and u8s8s32obf16
  GEMM operations to ensure processor compatibility before execution.

AMD-Internal: [CPUPL-7410]
2025-09-19 18:49:33 +05:30
2025-09-18 12:04:59 +01:00
2025-09-18 12:04:59 +01:00
2025-08-26 16:37:43 +01:00
2025-09-18 12:04:59 +01:00
2025-09-04 17:14:06 +01:00
2024-08-05 16:18:51 -04:00
2025-08-26 16:37:43 +01:00
2019-05-23 12:51:17 -05:00
2024-08-05 15:35:08 -04:00
2025-09-18 12:04:59 +01:00
2025-08-26 16:37:43 +01:00
2025-08-26 16:37:43 +01:00
2025-09-18 12:04:59 +01:00
2021-10-05 14:24:17 -05:00
2019-10-02 10:16:22 +01:00
2021-10-06 10:22:34 -05:00
2024-08-22 07:55:55 -04:00
2021-03-22 17:42:33 -05:00
2024-07-08 06:09:11 -04:00
2018-08-07 14:21:07 -05:00
2025-08-26 16:37:43 +01:00
2023-05-25 14:46:33 +00:00

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 70 MiB
Languages
C 86.2%
C++ 9.7%
Fortran 1.9%
Makefile 0.8%
MATLAB 0.4%
Other 0.9%