DSPACK: a parallel direct sparse matrix package for shared-memory multiprocessors

Abstract: "This paper presents a class of new parallel methods for the direct solution of general sparse linear systems. The methods extracts [sic] parallel tasks at the algorithmic level and therefore is suitable for a wide range of shared-memory multiprocessors. The implementation of the meth...

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Bibliographic Details
Main Author: Yang, Gung-Chung (Author)
Format: Book
Language:English
Published: Urbana, Ill. 1990
Series:Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report 1085
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Summary:Abstract: "This paper presents a class of new parallel methods for the direct solution of general sparse linear systems. The methods extracts [sic] parallel tasks at the algorithmic level and therefore is suitable for a wide range of shared-memory multiprocessors. The implementation of the methods resulted in a parallel direct sparse matrix software package, DSPACK. The superior performance of DSPACK is demonstrated on an eight-CE Alliant FX/8 using the Boeing-Harwell collection of benchmark matrices."
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