High Performance Computing of Three-Dimensional Finite Element Codes on a 64-bit Machine

Three dimensional Navier-Stokes finite element formulations require huge computational power in terms of memory and CPU time. Recent developments in sparse direct solvers have significantly reduced the memory and computational time of direct solution methods. The objective of this study is twofold...

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Main Authors: M.P Raju, S.K Khaitan
Format: Article
Language:English
Published: Isfahan University of Technology 2012-01-01
Series:Journal of Applied Fluid Mechanics
Subjects:
Online Access:http://jafmonline.net/JournalArchive/download?file_ID=15371&issue_ID=208
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author M.P Raju
S.K Khaitan
author_facet M.P Raju
S.K Khaitan
author_sort M.P Raju
collection DOAJ
description Three dimensional Navier-Stokes finite element formulations require huge computational power in terms of memory and CPU time. Recent developments in sparse direct solvers have significantly reduced the memory and computational time of direct solution methods. The objective of this study is twofold. First is to evaluate the performance of various state-of-the-art sequential sparse direct solvers in the context of finite element formulation of fluid flow problems. Second is to examine the merit in upgrading from 32 bit machine to a 64 bit machine with larger RAM capacity in terms of its capacity to solve larger problems. The choice of a direct solver is dependent on its computational time and its in-core memory requirements. Here four different solvers, UMFPACK, MUMPS, HSL_MA78 and PARDISO are compared. The performances of these solvers with respect to the computational time and memory requirements on a 64-bit windows server machine with 16GB RAM is evaluated.
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spelling doaj.art-25b6f17557794067a9be9d78e2bae4382022-12-21T19:11:00ZengIsfahan University of TechnologyJournal of Applied Fluid Mechanics1735-35722012-01-0152123132.High Performance Computing of Three-Dimensional Finite Element Codes on a 64-bit MachineM.P RajuS.K KhaitanThree dimensional Navier-Stokes finite element formulations require huge computational power in terms of memory and CPU time. Recent developments in sparse direct solvers have significantly reduced the memory and computational time of direct solution methods. The objective of this study is twofold. First is to evaluate the performance of various state-of-the-art sequential sparse direct solvers in the context of finite element formulation of fluid flow problems. Second is to examine the merit in upgrading from 32 bit machine to a 64 bit machine with larger RAM capacity in terms of its capacity to solve larger problems. The choice of a direct solver is dependent on its computational time and its in-core memory requirements. Here four different solvers, UMFPACK, MUMPS, HSL_MA78 and PARDISO are compared. The performances of these solvers with respect to the computational time and memory requirements on a 64-bit windows server machine with 16GB RAM is evaluated.http://jafmonline.net/JournalArchive/download?file_ID=15371&issue_ID=208Multifrontal UMFPACK MUMPS HSL MA78 PARDISO 64-bit
spellingShingle M.P Raju
S.K Khaitan
High Performance Computing of Three-Dimensional Finite Element Codes on a 64-bit Machine
Journal of Applied Fluid Mechanics
Multifrontal
UMFPACK
MUMPS
HSL MA78
PARDISO
64-bit
title High Performance Computing of Three-Dimensional Finite Element Codes on a 64-bit Machine
title_full High Performance Computing of Three-Dimensional Finite Element Codes on a 64-bit Machine
title_fullStr High Performance Computing of Three-Dimensional Finite Element Codes on a 64-bit Machine
title_full_unstemmed High Performance Computing of Three-Dimensional Finite Element Codes on a 64-bit Machine
title_short High Performance Computing of Three-Dimensional Finite Element Codes on a 64-bit Machine
title_sort high performance computing of three dimensional finite element codes on a 64 bit machine
topic Multifrontal
UMFPACK
MUMPS
HSL MA78
PARDISO
64-bit
url http://jafmonline.net/JournalArchive/download?file_ID=15371&issue_ID=208
work_keys_str_mv AT mpraju highperformancecomputingofthreedimensionalfiniteelementcodesona64bitmachine
AT skkhaitan highperformancecomputingofthreedimensionalfiniteelementcodesona64bitmachine