Large-scale parallel computation of incompressible flows by a domain decomposition-based least-squares finite element method

Xu Ding; Q. Y. Jiang; Tate T.H. Tsang

doi:10.1021/ie100136b

Large-scale parallel computation of incompressible flows by a domain decomposition-based least-squares finite element method

Xu Ding, Q. Y. Jiang, Tate T.H. Tsang

Chemical and Materials Engineering

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

We have successfully developed a least-squares finite element method (LSFEM) for unsteady-state, three-dimensional convection dominated flows. The serial algorithm was used for simulations on a single CPU. In this work, our goal is to use a domain decomposition approach to parallelize the serial algorithm without much modifications of the serial code. We illustrate the efficiency of the parallel algorithm by flow simulations for more than 25 million unknowns.

Original language	English
Pages (from-to)	8080-8085
Number of pages	6
Journal	Industrial and Engineering Chemistry Research
Volume	49
Issue number	17
DOIs	https://doi.org/10.1021/ie100136b
State	Published - Sep 1 2010

ASJC Scopus subject areas

General Chemistry
General Chemical Engineering
Industrial and Manufacturing Engineering

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10.1021/ie100136b

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abstract = "We have successfully developed a least-squares finite element method (LSFEM) for unsteady-state, three-dimensional convection dominated flows. The serial algorithm was used for simulations on a single CPU. In this work, our goal is to use a domain decomposition approach to parallelize the serial algorithm without much modifications of the serial code. We illustrate the efficiency of the parallel algorithm by flow simulations for more than 25 million unknowns.",

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AB - We have successfully developed a least-squares finite element method (LSFEM) for unsteady-state, three-dimensional convection dominated flows. The serial algorithm was used for simulations on a single CPU. In this work, our goal is to use a domain decomposition approach to parallelize the serial algorithm without much modifications of the serial code. We illustrate the efficiency of the parallel algorithm by flow simulations for more than 25 million unknowns.

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Large-scale parallel computation of incompressible flows by a domain decomposition-based least-squares finite element method

Abstract

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