he Watson Sparse Matrix Package, WSMP, is a high-performance, robust, and easy to use software package for solving large sparse 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 multiprocessor. A unique aspect of WSMP is that it exploits both SMP and MPP parallelism using Pthreads and MPI, respectively, while mostly shielding the user from the details of the architecture. Sparse symmetric factorization in WSMP has been clocked at up to 1.2 Gigaflops on RS6000 workstations with two 200 MHz Power3 CPUs and in excess of 90 Gigaflops on 128-node (256-processor) SP with two-way SMP 200 MHz Power3 nodes. This paper gives an overview of the algorithms, implementation aspects,performance results, and the user interface of WSMP for solving symmetric sparse systems of linear equations.
By: Anshul Gupta, Mahesh Joshi, Vipin Kumar (Univ. of MN, Minneapolis)
Published in: RC22038 in 2001
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