Distributed-memory computing with the Langley Aerothermodynamic Upwind Relaxation Algorithm (LAURA)

The Langley Aerothermodynamic Upwind Relaxation Algorithm (LAURA), a Navier–Stokes solver, has been modified for use in a parallel, distributed-memory environment using the Message-Passing Interface (MPI) standard. A standard domain decomposition strategy is used in which the computational domain is...

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Bibliographic Details
Published in:Advances in engineering software (1992) Vol. 29; no. 3; pp. 317 - 324
Main Authors: Riley, Christopher J., Cheatwood, F.McNeil
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.04.1998
ISSN:0965-9978
Online Access:Get full text
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Summary:The Langley Aerothermodynamic Upwind Relaxation Algorithm (LAURA), a Navier–Stokes solver, has been modified for use in a parallel, distributed-memory environment using the Message-Passing Interface (MPI) standard. A standard domain decomposition strategy is used in which the computational domain is divided into subdomains with each subdomain assigned to a processor. Performance is examined on dedicated parallel machines and a network of desktop workstations. The effect of domain decomposition and frequency of boundary updates on performance and convergence is also examined for several realistic configurations and conditions typical of large-scale computational fluid dynamic analysis.
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ISSN:0965-9978
DOI:10.1016/S0965-9978(97)00074-4