Sparse matrix algorithms are encountered in a broad range of important scientific computing applications. 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 a tour of MKL’s sparse linear algebra components. Highlights include Sparse BLAS functions, Direct solvers for sparse linear systems, Iterative solvers, and Eigensolvers for sparse matrices based on the FEAST algorithm.
Register for the webinar now: https://www1.gotomeeting.com/register/389177449