Sparse matrix algorithms are encountered in a broad range of important scientific computing applications. Intel® Math Kernel Library (Intel® MKL) offers a powerful set of functions that can be used to build a complete solution to many sparse linear systems. This webinar gives an overview on Intel MKL’s sparse linear algebra component. Highlights include Sparse BLAS functions, Direct solvers for sparse linear systems, Iterative solvers and Eigensolvers for sparse matrices based on the FEAST algorithm.
Sparse Linear Algebra Functions in Intel® Math Kernel Library