Simulation of free surface flows in a distributed memory environment

Detalhes bibliográficos
Autor(a) principal: Cuminato, J. A.
Data de Publicação: 1999
Outros Autores: Castelo, A., Boaventura, M., Tome, M. F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/S0377-0427(98)00242-8
http://hdl.handle.net/11449/35128
Resumo: A parallel technique, for a distributed memory machine, based on domain decomposition for solving the Navier-Stokes equations in cartesian and cylindrical coordinates in two dimensions with free surfaces is described. It is based on the code by Tome and McKee (J. Comp. Phys. 110 (1994) 171-186) and Tome (Ph.D. Thesis, University of Strathclyde, Glasgow, 1993) which in turn is based on the SMAC method by Amsden and Harlow (Report LA-4370, Los Alamos Scientific Laboratory, 1971), which solves the Navier-Stokes equations in three steps: the momentum and Poisson equations and particle movement, These equations are discretized by explicit and 5-point finite differences. The parallelization is performed by splitting the computation domain into vertical panels and assigning each of these panels to a processor. All the computation can then be performed using nearest neighbour communication. Test runs comparing the performance of the parallel with the serial code, and a discussion of the load balancing question are presented. PVM is used for communication between processes. (C) 1999 Elsevier B.V. B.V. All rights reserved.
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spelling Simulation of free surface flows in a distributed memory environmentfree surface flowdistributed memoryparallel techniquedomain decompositionA parallel technique, for a distributed memory machine, based on domain decomposition for solving the Navier-Stokes equations in cartesian and cylindrical coordinates in two dimensions with free surfaces is described. It is based on the code by Tome and McKee (J. Comp. Phys. 110 (1994) 171-186) and Tome (Ph.D. Thesis, University of Strathclyde, Glasgow, 1993) which in turn is based on the SMAC method by Amsden and Harlow (Report LA-4370, Los Alamos Scientific Laboratory, 1971), which solves the Navier-Stokes equations in three steps: the momentum and Poisson equations and particle movement, These equations are discretized by explicit and 5-point finite differences. The parallelization is performed by splitting the computation domain into vertical panels and assigning each of these panels to a processor. All the computation can then be performed using nearest neighbour communication. Test runs comparing the performance of the parallel with the serial code, and a discussion of the load balancing question are presented. PVM is used for communication between processes. (C) 1999 Elsevier B.V. B.V. All rights reserved.USP, ICMSC, BR-13560970 Sao Carlos, SP, BrazilUNESP, IBILCE, BR-15054000 SJ do Rio Preto, SP, BrazilUniv Tecn Lisboa, Inst Super Tecn, P-1096 Lisbon, PortugalUNESP, IBILCE, BR-15054000 SJ do Rio Preto, SP, BrazilElsevier B.V.Universidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Univ Tecn LisboaCuminato, J. A.Castelo, A.Boaventura, M.Tome, M. F.2014-05-20T15:24:32Z2014-05-20T15:24:32Z1999-03-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article77-92application/pdfhttp://dx.doi.org/10.1016/S0377-0427(98)00242-8Journal of Computational and Applied Mathematics. Amsterdam: Elsevier B.V., v. 103, n. 1, p. 77-92, 1999.0377-0427http://hdl.handle.net/11449/3512810.1016/S0377-0427(98)00242-8WOS:000079139800008WOS000079139800008.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Computational and Applied Mathematics1.6320,938info:eu-repo/semantics/openAccess2023-11-05T06:08:48Zoai:repositorio.unesp.br:11449/35128Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-05T06:08:48Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Simulation of free surface flows in a distributed memory environment
title Simulation of free surface flows in a distributed memory environment
spellingShingle Simulation of free surface flows in a distributed memory environment
Cuminato, J. A.
free surface flow
distributed memory
parallel technique
domain decomposition
title_short Simulation of free surface flows in a distributed memory environment
title_full Simulation of free surface flows in a distributed memory environment
title_fullStr Simulation of free surface flows in a distributed memory environment
title_full_unstemmed Simulation of free surface flows in a distributed memory environment
title_sort Simulation of free surface flows in a distributed memory environment
author Cuminato, J. A.
author_facet Cuminato, J. A.
Castelo, A.
Boaventura, M.
Tome, M. F.
author_role author
author2 Castelo, A.
Boaventura, M.
Tome, M. F.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
Univ Tecn Lisboa
dc.contributor.author.fl_str_mv Cuminato, J. A.
Castelo, A.
Boaventura, M.
Tome, M. F.
dc.subject.por.fl_str_mv free surface flow
distributed memory
parallel technique
domain decomposition
topic free surface flow
distributed memory
parallel technique
domain decomposition
description A parallel technique, for a distributed memory machine, based on domain decomposition for solving the Navier-Stokes equations in cartesian and cylindrical coordinates in two dimensions with free surfaces is described. It is based on the code by Tome and McKee (J. Comp. Phys. 110 (1994) 171-186) and Tome (Ph.D. Thesis, University of Strathclyde, Glasgow, 1993) which in turn is based on the SMAC method by Amsden and Harlow (Report LA-4370, Los Alamos Scientific Laboratory, 1971), which solves the Navier-Stokes equations in three steps: the momentum and Poisson equations and particle movement, These equations are discretized by explicit and 5-point finite differences. The parallelization is performed by splitting the computation domain into vertical panels and assigning each of these panels to a processor. All the computation can then be performed using nearest neighbour communication. Test runs comparing the performance of the parallel with the serial code, and a discussion of the load balancing question are presented. PVM is used for communication between processes. (C) 1999 Elsevier B.V. B.V. All rights reserved.
publishDate 1999
dc.date.none.fl_str_mv 1999-03-15
2014-05-20T15:24:32Z
2014-05-20T15:24:32Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/S0377-0427(98)00242-8
Journal of Computational and Applied Mathematics. Amsterdam: Elsevier B.V., v. 103, n. 1, p. 77-92, 1999.
0377-0427
http://hdl.handle.net/11449/35128
10.1016/S0377-0427(98)00242-8
WOS:000079139800008
WOS000079139800008.pdf
url http://dx.doi.org/10.1016/S0377-0427(98)00242-8
http://hdl.handle.net/11449/35128
identifier_str_mv Journal of Computational and Applied Mathematics. Amsterdam: Elsevier B.V., v. 103, n. 1, p. 77-92, 1999.
0377-0427
10.1016/S0377-0427(98)00242-8
WOS:000079139800008
WOS000079139800008.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Computational and Applied Mathematics
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 77-92
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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