BLIS is a portable software framework for instantiating high-performance BLAS-like dense linear algebra libraries. The framework was designed to isolate essential kernels of computation that, when optimized, enable optimized implementations of most of its commonly used and computationally intensive operations. Select kernels have been optimized for the AMD EPYCTM processor family. The optimizations are done for single and double precision routines.
Highlights of AMD BLIS 2.1
- Improved performance of SGEMM and DGEMM for small and skinny size matrices
- Improved TRSM single thread performance for small and skinny size matrices
- BLIS build now supports both AMD “Zen” and “Zen 2” configurations with auto config option
- Support for C++ Template APIs for all BLAS functions
The package containing BLIS Library binaries which includes optimizations for the AMD EPYC™ processor family, examples and documentation are available in the Downloads section below.
Source code is available on GitHub https://github.com/amd/blis.
libFLAME is a portable library for dense matrix computations, providing much of the functionality present in LAPACK. It includes a compatibility layer, FLAPACK, which includes complete LAPACK implementation. The library provides scientific and numerical computing communities with a modern, high-performance dense linear algebra library that is extensible, easy to use, and available under an open source license. libFLAME is a C-only implementation and does not depend on any external FORTRAN libraries including LAPACK. There is an optional backward compatibility layer, lapack2flame, that maps LAPACK routine invocations to their corresponding native C implementations in libFLAME. This allows legacy applications to start taking advantage of libFLAME with virtually no changes to their source code.
In combination with the AMD optimized BLIS library, libFLAME enables running high performing LAPACK functionalities on AMD platforms. The performance of libFLAME on AMD platforms can be improved by just linking with the AMD optimized BLIS.
Highlights of AMD libFLAME 2.1
- Support for C++ Template APIs for all LAPACK functions
- Includes LAPACKE source in the libFLAME source directory
The package containing libFLAME binaries, examples and documentation are available in the Downloads section below
Source code is available on GitHub https://github.com/amd/libflame.