#LINPACK BENCHMARK AMD WINDOWS PORTABLE#

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. It includes a compatibility layer, FLAPACK, which includes complete LAPACK implementation.

#LINPACK BENCHMARK AMD WINDOWS PORTABLE#

LibFLAME is a portable library for dense matrix computations, providing much of the functionality present in LAPACK. Source code for AMD BLIS will be available shortly on GitHub. The package containing BLIS Library binaries that includes optimizations for AMD processors, examples and documentation are available in the Downloads section below.

Debug trace and input logging support added for more BLIS APIs.

New BLAS extension APIs added including cblas_?cabs1, cblas_i?amin, cblas_?axpby, cblas_?gemm_batch, and cblas_?gemm3m.

Includes support for copy transposition routines.

Improved performance of ?dotv, ?gemv, ?axpyv for complex and double complex datatypes.

Build can auto detect if it is running on AMD вЂњZen3вЂќ and enable features and optimizations specific to AMD вЂњZen3вЂќ architecture

Includes support for AMDвЂ™s Zen3 architecture.

By default, OpenMP runtime library sets the number of threads.

New AOCL Dynamic вЂ“ Dynamically modify threads at run-time for DGEMM, DGEMMT, DTRSM, and DSYRK.New Dynamic Dispatch вЂ“ Single Binary supports AMD вЂњZenвЂќ, AMD вЂњZen2вЂќ, and AMD вЂњZen3вЂќ processors.AMD has extensively optimized the implementation of BLIS for AMD processors.

The optimizations are done for single and double precision routines. The framework was designed to isolate essential kernels of computation that enable optimized implementations of most of its commonly used and computationally intensive operations. BLIS is a portable software framework for instantiating high-performance BLAS-like dense linear algebra libraries.

2022.03

Linpack benchmark amd windows