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Parallel MPI/FORTRAN finite element ...
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Tungkahotara, Siroj.
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Parallel MPI/FORTRAN finite element symmetrical/unsymmetrical Domain Decomposition.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Parallel MPI/FORTRAN finite element symmetrical/unsymmetrical Domain Decomposition./
Author:
Tungkahotara, Siroj.
Description:
220 p.
Notes:
Adviser: Duc T. Nguyen.
Contained By:
Dissertation Abstracts International69-06B.
Subject:
Applied Mechanics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3318671
ISBN:
9780549680895
Parallel MPI/FORTRAN finite element symmetrical/unsymmetrical Domain Decomposition.
Tungkahotara, Siroj.
Parallel MPI/FORTRAN finite element symmetrical/unsymmetrical Domain Decomposition.
- 220 p.
Adviser: Duc T. Nguyen.
Thesis (Ph.D.)--Old Dominion University, 2008.
MPI/FORTRAN finite element analysis software based on Domain Decomposition (DD) formulas has been developed in this work. Efficient input data storage/data communication schemes, domain partitioning, fast symbolical and numerical sparse assembly, symmetrical/unsymmetrical sparse solver and robust symmetrical/unsymmetrical iterative solvers algorithms are all incorporated into the developed code. Parallel Precondition Conjugated Gradient (PCG) and Flexible Generalized Minimum Residual (FGMRES) are developed. Efficient computational techniques used in the developed code are explained. Numerical performance and the accuracy of the developed code are conducted on acoustic examples with medium to large grid sizes. The results obtained from ODU Wilbur cluster (under parallel processing computer environments) have revealed the super-linear speedup in 3-D symmetrical acoustic examples. The robustness and the minimum in-core memory usage of the code are also observed.
ISBN: 9780549680895Subjects--Topical Terms:
1018410
Applied Mechanics.
Parallel MPI/FORTRAN finite element symmetrical/unsymmetrical Domain Decomposition.
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MPI/FORTRAN finite element analysis software based on Domain Decomposition (DD) formulas has been developed in this work. Efficient input data storage/data communication schemes, domain partitioning, fast symbolical and numerical sparse assembly, symmetrical/unsymmetrical sparse solver and robust symmetrical/unsymmetrical iterative solvers algorithms are all incorporated into the developed code. Parallel Precondition Conjugated Gradient (PCG) and Flexible Generalized Minimum Residual (FGMRES) are developed. Efficient computational techniques used in the developed code are explained. Numerical performance and the accuracy of the developed code are conducted on acoustic examples with medium to large grid sizes. The results obtained from ODU Wilbur cluster (under parallel processing computer environments) have revealed the super-linear speedup in 3-D symmetrical acoustic examples. The robustness and the minimum in-core memory usage of the code are also observed.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3318671
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