Application of algebraic domain decomposition combined with Krylov subspace iterative methods to solve 3D vector finite element equations

In this paper, a parallel algorithm based on MPI (Message Passing Interface) parallel computing library for the finite element method is presented to analyze three‐dimensional electromagnetic devices. The algebraic domain decomposition method is used in the algorithm. The original problem is decompo...

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Published inMicrowave and optical technology letters Vol. 49; no. 3; pp. 686 - 692
Main Authors Ping, X. W., Chen, R. S.
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.03.2007
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ISSN0895-2477
1098-2760
DOI10.1002/mop.22247

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Abstract In this paper, a parallel algorithm based on MPI (Message Passing Interface) parallel computing library for the finite element method is presented to analyze three‐dimensional electromagnetic devices. The algebraic domain decomposition method is used in the algorithm. The original problem is decomposed into several subproblems according to its features. Each of them is allocated to one process in one computation node and solved independently with a direct method. The data are exchanged by communication between adjacent subdomains with overlapped data based on the MPI network. The example of its application is given. Numerical shows that the proposed algorithm can get excellent performance vs. price ratio and can save much memory and CPU time than sequential computing. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 686–692, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22247
AbstractList In this paper, a parallel algorithm based on MPI (Message Passing Interface) parallel computing library for the finite element method is presented to analyze three‐dimensional electromagnetic devices. The algebraic domain decomposition method is used in the algorithm. The original problem is decomposed into several subproblems according to its features. Each of them is allocated to one process in one computation node and solved independently with a direct method. The data are exchanged by communication between adjacent subdomains with overlapped data based on the MPI network. The example of its application is given. Numerical shows that the proposed algorithm can get excellent performance vs. price ratio and can save much memory and CPU time than sequential computing. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 686–692, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22247
In this paper, a parallel algorithm based on MPI (Message Passing Interface) parallel computing library for the finite element method is presented to analyze three-dimensional electromagnetic devices. The algebraic domain decomposition method is used in the algorithm. The original problem is decomposed into several subproblems according to its features. Each of them is allocated to one process in one computation node and solved independently with a direct method. The data are exchanged by communication between adjacent subdomains with overlapped data based on the MPI network. The example of its application is given. Numerical shows that the proposed algorithm can get excellent performance vs. price ratio and can save much memory and CPU time than sequential computing.
In this paper, a parallel algorithm based on MPI (Message Passing Interface) parallel computing library for the finite element method is presented to analyze three-dimensional electromagnetic devices. The algebraic domain decomposition method is used in the algorithm. The original problem is decomposed into several subproblems according to its features. Each of them is allocated to one process in one computation node and solved independently with a direct method. The data are exchanged by communication between adjacent subdomains with overlapped data based on the MPI network. The example of its application is given. Numerical shows that the proposed algorithm can get excellent performance vs. price ratio and can save much memory and CPU time than sequential computing. copyright 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 686-692, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22247
Author Chen, R. S.
Ping, X. W.
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10.1109/9780470544655
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10.7551/mitpress/5712.001.0001
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10.1109/8.546247
10.1109/20.877736
10.1109/22.85402
10.1016/0167-8191(93)90082-V
10.7551/mitpress/7056.001.0001
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10.1109/75.755039
10.1002/mop.10064
10.1109/8.855483
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– reference: K. Hoffman and J. Zou, Parallel efficiency of domain decomposition methods, Parallel Computing 19 (1993), 1375-1393.
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– reference: Y. Lu and C.Y. Shen, A domain decomposition finite-difference method for parallel numerical implementation of time-dependent Maxwell's equations, IEEE Trans Antennas Propag 45 (1997), 556-562.
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Snippet In this paper, a parallel algorithm based on MPI (Message Passing Interface) parallel computing library for the finite element method is presented to analyze...
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StartPage 686
SubjectTerms Algebra
algebraic domain decomposition
Algorithms
Devices
Finite element method
Krylov subspace iterative methods
Mathematical analysis
Mathematical models
Message passing
Microwaves
MPI
parallel computing
vector finite element method
Title Application of algebraic domain decomposition combined with Krylov subspace iterative methods to solve 3D vector finite element equations
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Volume 49
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