A parallel 3D unsteady incompressible flow solver on VPP700

B. V.R. Rathish Kumar; T. Yamaguchi; H. Liu; R. Himeno

doi:10.1016/S0167-8191(01)00113-2

A parallel 3D unsteady incompressible flow solver on VPP700

B. V.R. Rathish Kumar, T. Yamaguchi, H. Liu, R. Himeno

MEN - Biomedical Engineering

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

8 Citations (Scopus)

Abstract

In this study, MIMD parallel computation of coupled non-linear partial differential equations governing the mass and momentum conservation of a 3D viscous incompressible unsteady flow on distributed memory-based vector parallel processing system (VPP700) under UXP/VPPF90 has been discussed. The parallel numerical implementation is based on a time accurate cell centered finite volume method in conjunction with Roe's flux difference splitting of non-linear terms and pseudo-compressibility technique. Data flow graphs necessary for combined parallelization and vectorization have been generated to provide a logical basis for parallel code development. The performance of the parallel implementation measured in terms of speedup and efficiency factors is found to be good. The parallel code is tested on three test problems of practical significance.

Original language	English
Pages (from-to)	1687-1713
Number of pages	27
Journal	Parallel Computing
Volume	27
Issue number	13
DOIs	https://doi.org/10.1016/S0167-8191(01)00113-2
Publication status	Published - 2001 Dec 1

Keywords

Finite volume method
MIMD
NS equations
Parallel computations
VPP700
VPPF90

ASJC Scopus subject areas

Software
Theoretical Computer Science
Hardware and Architecture
Computer Networks and Communications
Computer Graphics and Computer-Aided Design
Artificial Intelligence

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10.1016/S0167-8191(01)00113-2

Cite this

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abstract = "In this study, MIMD parallel computation of coupled non-linear partial differential equations governing the mass and momentum conservation of a 3D viscous incompressible unsteady flow on distributed memory-based vector parallel processing system (VPP700) under UXP/VPPF90 has been discussed. The parallel numerical implementation is based on a time accurate cell centered finite volume method in conjunction with Roe's flux difference splitting of non-linear terms and pseudo-compressibility technique. Data flow graphs necessary for combined parallelization and vectorization have been generated to provide a logical basis for parallel code development. The performance of the parallel implementation measured in terms of speedup and efficiency factors is found to be good. The parallel code is tested on three test problems of practical significance.",

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AU - Rathish Kumar, B. V.R.

AU - Yamaguchi, T.

AU - Liu, H.

AU - Himeno, R.

PY - 2001/12/1

Y1 - 2001/12/1

N2 - In this study, MIMD parallel computation of coupled non-linear partial differential equations governing the mass and momentum conservation of a 3D viscous incompressible unsteady flow on distributed memory-based vector parallel processing system (VPP700) under UXP/VPPF90 has been discussed. The parallel numerical implementation is based on a time accurate cell centered finite volume method in conjunction with Roe's flux difference splitting of non-linear terms and pseudo-compressibility technique. Data flow graphs necessary for combined parallelization and vectorization have been generated to provide a logical basis for parallel code development. The performance of the parallel implementation measured in terms of speedup and efficiency factors is found to be good. The parallel code is tested on three test problems of practical significance.

AB - In this study, MIMD parallel computation of coupled non-linear partial differential equations governing the mass and momentum conservation of a 3D viscous incompressible unsteady flow on distributed memory-based vector parallel processing system (VPP700) under UXP/VPPF90 has been discussed. The parallel numerical implementation is based on a time accurate cell centered finite volume method in conjunction with Roe's flux difference splitting of non-linear terms and pseudo-compressibility technique. Data flow graphs necessary for combined parallelization and vectorization have been generated to provide a logical basis for parallel code development. The performance of the parallel implementation measured in terms of speedup and efficiency factors is found to be good. The parallel code is tested on three test problems of practical significance.

KW - Finite volume method

KW - MIMD

KW - NS equations

KW - Parallel computations

KW - VPP700

KW - VPPF90

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A parallel 3D unsteady incompressible flow solver on VPP700

Abstract

Keywords

ASJC Scopus subject areas

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