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.
Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserverd for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.
Notice revision #20110804