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Data-Parallel Sparse Factorization

Published in SIAM Journal on Scientific Computing • Jan 1, 1998
NobleIDNI9P19W31R86S06
Authors:
John M. Conroy
,
Steven G. Kratzer
,
Robert F. Lucas

Abstract

Sparse matrix factorization is a computational bottleneck in many scientific and engineering problems. This paper examines the problem of factoring large sparse matrices on data-parallel computers. A multifrontal approach is presented in which only the fine-grain concurrency found within the elimina...

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