Parallelization of direct simulation Monte Carlo method combined with monotonic Lagrangian grid

The monotonic Lagrangian grid (MLG) and the direct simulation Monte Carlo (DSMC) methodology were combined on the Thinking Machines CM-5 to create a fast DSMC-MLG code with automatic grid adaptation based on local number densities. The computing time required by the parallel DSMC-MLG code was signif...

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Veröffentlicht in:AIAA journal 1996-07, Vol.34 (7), p.1363-1370
Hauptverfasser: Oh, C. K, Sinkovits, R. S, Cybyk, B. Z, Oran, E. S, Boris, J. P
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Sprache:eng
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Zusammenfassung:The monotonic Lagrangian grid (MLG) and the direct simulation Monte Carlo (DSMC) methodology were combined on the Thinking Machines CM-5 to create a fast DSMC-MLG code with automatic grid adaptation based on local number densities. The computing time required by the parallel DSMC-MLG code was significantly decreased compared with other parallel efforts and its parallel efficiency on 512 processors achieved approximately 80% for simulation involving one-half million particles.
ISSN:0001-1452
1533-385X
DOI:10.2514/3.13241