PISC - Iterative Solver for Systems of Linear Equations with a Sparse Symmetric Stiffness Matrix for Clusters

In this paper, a package of programs for solving systems of linear equations with a sparse symmetric matrix for computers with distributed memory is proposed. This package is based on the iterative algorithm for solving the initial system of equations with preconditioner constructed using the algebraic domain decomposition. To improve the efficiency of computation, PARDISO and SparseBlas functionalities from Intel®MKL library are used on each process. The package works with both positive define and indefinite matrices. The performance results and scalability of package presented.