An efficient block-oriented approach to parallel sparse Cholesky-factorization:

Abstract: "This paper explores the use of a sub-block decomposition strategy for parallel sparse Cholesky factorization, in which the sparse matrix is decomposed into rectangular blocks. Such a strategy has enormous theoretical scalability advantages over a more traditional column-oriented deco...

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Bibliographische Detailangaben
Hauptverfasser: Rothberg, Edward (VerfasserIn), Gupta, Anoop (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Stanford, Calif. 1992
Schriftenreihe:Stanford University / Computer Science Department: Report STAN CS 1438
Schlagworte:
Zusammenfassung:Abstract: "This paper explores the use of a sub-block decomposition strategy for parallel sparse Cholesky factorization, in which the sparse matrix is decomposed into rectangular blocks. Such a strategy has enormous theoretical scalability advantages over a more traditional column-oriented decomposition for large parallel machines. However, little progress has been made in producing a practical sub-block method. This paper describes and evaluates an approach that is both simple and efficient."
Beschreibung:25 S.

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