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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Bibliographic Details
Main Authors: Rothberg, Edward (Author), Gupta, Anoop (Author)
Format: Book
Language:English
Published: Stanford, Calif. 1992
Series:Stanford University / Computer Science Department: Report STAN CS 1438
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Summary: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."
Physical Description:25 S.

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