Direct sparse solver routines in Intel MKL (see Sparse Solver Routines ) solve symmetric and symmetrically-structured sparse matrices with real or complex coefficients. For symmetric matrices, these Intel MKL subroutines can solve both positive-definite and indefinite systems. Intel MKL includes a solver based on the PARDISO* sparse solver, referred to as Intel MKL PARDISO, as well as an alternative set of user callable direct sparse solver routines.
If you use the Intel MKL PARDISO sparse solver, please cite:
O.Schenk and K.Gartner. Solving unsymmetric sparse systems of linear equations with PARDISO. J. of Future Generation Computer Systems, 20(3):475-487, 2004.
Intel MKL provides also an iterative sparse solver (see Sparse Solver Routines) that uses Sparse BLAS level 2 and 3 routines and works with different sparse data formats.
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 reserved 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