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
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemical reactions Computational methods in fluid dynamics Exact sciences and technology Fluid dynamics Free molecular flows Fundamental areas of phenomenology (including applications) Mathematical models Physics Rarefied gas dynamics
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creator	Oh, C. K Sinkovits, R. S Cybyk, B. Z Oran, E. S Boris, J. P
description	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.
doi_str_mv	10.2514/3.13241
format	Article
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subjects	Chemical reactions Computational methods in fluid dynamics Exact sciences and technology Fluid dynamics Free molecular flows Fundamental areas of phenomenology (including applications) Mathematical models Physics Rarefied gas dynamics
title	Parallelization of direct simulation Monte Carlo method combined with monotonic Lagrangian grid
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