Difference between revisions of "BLAS LAPACK ScaLAPACK"
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* MKL http://software.intel.com/en-us/intel-mkl/ - Intel implementation | * MKL http://software.intel.com/en-us/intel-mkl/ - Intel implementation | ||
*ACML http://developer.amd.com/libraries/acml/pages/default.aspx | *ACML http://developer.amd.com/libraries/acml/pages/default.aspx | ||
| + | *CUBLAS http://developer.nvidia.com/cublas | ||
Using the C interface is preferable. [http://www.inf.bv.tum.de/~heisserer/softwarelab04/doc/blas_report.pdf BLAS: overview, installation, usage] | Using the C interface is preferable. [http://www.inf.bv.tum.de/~heisserer/softwarelab04/doc/blas_report.pdf BLAS: overview, installation, usage] | ||
Latest revision as of 11:04, 12 July 2012
A de facto standard API for linear algebra BLAS/LAPACK
- Original http://www.netlib.org/blas/ http://www.netlib.org/lapack/ - implemented in Fortran. The libraries can be used in C/C++ (so called Fortran interface to BLAS/LAPACK).
- ATLAS http://math-atlas.sourceforge.net/ - provides a C interface to BLAS and partially LAPACK. Binary packages: libatlas-[base or platform name, for example sse2]
- MKL http://software.intel.com/en-us/intel-mkl/ - Intel implementation
- ACML http://developer.amd.com/libraries/acml/pages/default.aspx
- CUBLAS http://developer.nvidia.com/cublas
Using the C interface is preferable. BLAS: overview, installation, usage
