I like C++ and after I have switched from Fortran to C++ at the beginning of the nineties, I wanted to do everything in C++ including linear algebra. My first linear algebra in C++ was GNUSSL by Robert D. Pierce. It was a nice template library that helped me a lot to understand how one […]
Posts Tagged ‘MKL’
April 10, 2011 by Evgenii Rudnyi · Comments Off on Using LAPACK from C++
Filed under: Dense Matrices
Social Tagging: C++ • gcc • LAPACK • MKL • SciPy
Filed under: Dense Matrices
Social Tagging: C++ • gcc • LAPACK • MKL • SciPy
August 24, 2010 by Evgenii Rudnyi · Comments Off on BLAS: Basic Linear Algebra System
Filed under: Dense Matrices
Social Tagging: ACML • ATLAS • BLAS • GotoBLAS • MKL
Filed under: Dense Matrices
Social Tagging: ACML • ATLAS • BLAS • GotoBLAS • MKL
Linear algebra algorithms can be written in terms of standard matrix-vector operations. This operations could be optimized for a particular hardware and thus one can increase performance by using the optimized BLAS libraries. In practice this means that it is must to use an optimized BLAS in your work. A nice introduction to BLAS is in […]
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