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Concurrent Multifrontal Methods: Shared Memory, Cache, and Frontwidth Issues

Published in The International Journal of Supercomputing Applications • Sep 1, 1987
NobleIDNI0P14W96R31S61
Authors:
Robert E. Benner
,
G.R. Montry
,
G.G. Weigand

Abstract

Frontal methods are an efficient and pop ular means of Gauss elimination of matrix equations that arise in finite element analysis. Nested dissection of a computa tional domain makes possible high-level parallelism in a widely used frontal algo rithm for unsymmetric systems. A concur rent, highly ve...

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