Sparse matrix algorithms are encountered in a broad range of important scientific computing applications.
Reference Number : dpd200252274Version : Intel® C++ Compiler and Intel® Fortran Compiler versions 13.0.1, 13.1.any, 14.0.0 and 14.0.1
The latest Intel® Xeon® processor E7 v2 family includes a feature called Intel® Advanced Vector Extensions (Intel® AVX), which can potentially improve application performance.
We optimized a version of a triply nested loop matrix multiplication on Linux* using the Intel® Math Kernel Library (MKL).
Intel® Math Kernel Library (Intel® MKL) 11.2 includes support for the latest 32-bit and 64-bit Intel® Atom™ processors.
The fastest way to performance is to use highly optimized libraries such as Intel® Math Kernel Library (Intel® MKL).
The Intel® Math Kernel Library (Intel® MKL) provides many optimized math routines including BLAS routines, LAPACK, FFT and sparse solvers.