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This allows legacy applications to start taking advantage of libFLAME with virtually no changes to their source code. There is an optional backward compatibility layer, lapack2flame that maps LAPACK routine invocations to their corresponding native C implementations in libFLAME. libFLAME is a C-only implementation and does not depend on any external FORTRAN libraries including LAPACK. 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 math libraries 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 “Zen3” and enable features and optimizations specific to AMD “Zen3” architecture Includes support for AMD’s Zen3 architecture.By default, OpenMP runtime library sets the number of threads.New AOCL Dynamic – Dynamically modify threads at run-time for DGEMM, DGEMMT, DTRSM, and DSYRK.New Dynamic Dispatch – Single Binary supports AMD “Zen”, AMD “Zen2”, and AMD “Zen3” 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.
Linpack benchmark math libraries software#
BLIS is a portable software framework for instantiating high-performance BLAS-like dense linear algebra libraries.