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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Bibliographische Detailangaben
1. Verfasser: Yang, Gung-Chung (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Urbana, Ill. 1990
Schriftenreihe:Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report 1085
Schlagworte:
Zusammenfassung: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."
Beschreibung:[4] S.

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