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 […]

## Posts Tagged ‘BLAS’

August 24, 2010 by Evgenii Rudnyi · 4 Comments

Filed under: Dense Matrices

Social Tagging: ACML • ATLAS • BLAS • GotoBLAS • MKL

Filed under: Dense Matrices

Social Tagging: ACML • ATLAS • BLAS • GotoBLAS • MKL

January 3, 2008 by Evgenii Rudnyi · 4 Comments

Filed under: Dense Matrices

Social Tagging: ATLAS • BLAS • C++ • Fortran • NumPy

Filed under: Dense Matrices

Social Tagging: ATLAS • BLAS • C++ • Fortran • NumPy

Introduction Interactive System for Numerical Linear Algebra Direct Implementation with Compiled Language Fortran C C++ Using Specialized Libraries: BLAS and ATLAS Using make Compiling BLAS and ATLAS Calling DGEMM from Fortran Calling DGEMM from C and C++ Conclusion Problems Discussion code for the chapter compiled ATLAS 3.6 for Windows Introduction Matrix multiplication is a common […]

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