WSMP : Watson Sparse Matrix Package

WSMP : Watson Sparse Matrix Package Part III – iterative solution of sparse systems

Improved Symbolic and Numerical Factorization Algorithms for Unsymmetric Sparse Matrices

We present algorithms for the symbolic and numerical factorization phases in the direct solution of sparse unsymmetric systems of linear equations. We have modified a classical symbolic factorization algorithm for unsymmetric matrices to inexpensively compute minimal elimination structures. We give an efficient algorithm to compute a near-minimal data-dependency graph for unsymmetric multifront...

Ibm Research Report Wgpp: Watson Graph Partitioning (and Sparse Matrix Ordering) Package Users Manual: Version 3.2 (and Sparse Matrix Ordering) Package Users Manual: Version 3.2

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WSSMP: A High-Performance Shared- and Distributed-Memory Parallel Sparse Symmetric Linear Equation Solver

The Watson Symmetric Sparse Matrix Package, WSSMP, is a high-performance, robust, and easy to use software package for solving large sparse symmetric systems of linear equations. It can be used as a serial package, or in a shared-memory multiprocessor environment, or as a scalable parallel solver in a message-passing environment, where each node can either be a uniprocessor or a shared-memory m...

Recent Advances in Direct Methods for Solving Un - symmetric Sparse Systems of Linear

This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and speciic requests. After outside...