Techniques for improving the Performance of sparse matrix factorization on multiprocessor workstations

Abstract: "In this paper we look at the problem of factoring large sparse systems of equations on high-performance multiprocessor workstations. While these multiprocessor workstations are capable of very high peak floating point computation rates, most existing sparse factorization codes achiev...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Rothberg, Edward (VerfasserIn), Gupta, Anoop (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Stanford, Calif. 1990
Schriftenreihe:	Stanford University / Computer Science Department: Report STAN CS 1318
Schlagworte:	Multiprocessors
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!