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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