ParILUT---A New Parallel Threshold ILU Factorization

Hartwig Anzt, Edmond Chow, Jack Dongarra

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Abstract

We propose a parallel algorithm for computing a threshold incomplete LU (ILU) factorization. The main idea is to interleave a parallel fixed-point iteration that approximates an incomplete factorization for a given sparsity pattern with a procedure that adjusts the pattern. We describe and test a strategy for identifying nonzeros to be added and nonzeros to be removed from the sparsity pattern. The resulting pattern may be different and more effective than that of existing threshold ILU algorithms. Also in contrast to other parallel threshold ILU algorithms, much of the new algorithm has fine-grained parallelism.
Original languageEnglish
Pages (from-to)C503-C519
JournalSIAM Journal on Scientific Computing
Volume40
Issue number4
Early online date12 Jul 2018
DOIs
Publication statusPublished - 2018

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