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The Level 1 BLAS perform scalar, vector and vector-vector operations, the Level 2 BLAS perform matrix-vector operations, and the Level 3 BLAS perform matrix-matrix operations. Because the BLAS are efficient, portable, and widely available, they are commonly used in the development of high quality linear algebra software, LAPACK for example.
Basic Linear Algebra Subprograms (BLAS) is a specification that prescribes a set of low-level routines for performing common linear algebra operations such as vector addition, scalar multiplication, dot products, linear combinations, and matrix multiplication.They are the de facto standard low-level routines for linear algebra libraries; the routines have bindings for both C ("CBLAS interface ...
Intel Sandy Bridge: Optimized Level-3 and Level-2 BLAS with AVX on x86-64. Intel Haswell: Optimized Level-3 and Level-2 BLAS with AVX2 and FMA on x86-64. Intel Skylake-X: Optimized Level-3 and Level-2 BLAS with AVX512 and FMA on x86-64. Intel Cooper Lake: as Skylake-X with improved BFLOAT16 support. AMD Bobcat: Used GotoBLAS2 Barcelona codes.
OpenBLAS is an open-source implementation of the BLAS (Basic Linear Algebra Subprograms) and LAPACK APIs with many hand-crafted optimizations for specific processor types. It is developed at the Lab of Parallel Software and Computational Science, ISCAS. OpenBLAS adds optimized implementations of linear algebra kernels for several processor architectures, including Intel Sandy Bridge [3] and ...
Learn how to use the Basic Linear Algebra Subprograms (BLAS) to perform vector and matrix operations in GSL. The web page explains the high-level and low-level interfaces, the types and precisions of matrices, and the functions for each level of BLAS operations.
BLAS is a FORTRAN90 library which contains the Basic Linear Algebra Subprograms (BLAS) for level 1 (vector-vector operations), level 2 (matrix-vector operations) and level 3 (matrix-matrix operations), for single precision real arithmetic, double precision real arithmetic, single precision complex arithmetic, and double precision complex arithmetic.
The BLAS interface supports portable high-performance implementation of applications that are matrix and vector computation intensive. The library or application developer focuses on casting computation in terms of the operations supported by the BLAS, leaving the architecture-specific optimization of that software layer to an expert. ...
Learn how to use the BLAS routines for vector and matrix operations on LC Linux clusters. Find out the different versions of BLAS available and how to link them with various compilers.
The Basic Linear Algebra Subprograms (BLAS) have been around for many decades and serve as the de facto standard for performance-portable and numerically robust implementation of essential linear algebra functionality. Originally, they were written in Fortran, and later furnished with a C API (CBLAS).
Linear algebra is at the core of many mathematical concepts. In addition to high level functions such as Dot, Transpose, and Outer, the Wolfram Language provides, both direct access to and extensions of much of the Basic Linear Algebra Subroutines (BLAS) library. For some applications, these can provide a performance boost.