Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Płażek, Joanna | Banaś, Krzysztof | Kitowski, Jacek;
Affiliations: Section of Applied Mathematics FAPCM, Cracow University of Technology, Warszawska 24, 31-155 Cracow, Poland | Institute of Computer Science, University of Mining and Metallurgy, al. Mickiewicza 30, 30-059, Kraków, Poland | Academic Computer Center CYFRONET, ul. Nawojki 11, 30-950 Kraków, Poland. Tel.: +48 12 617 3964; Fax: +48 12 338 054; E-mail: [email protected]
Note: [] Corresponding author
Abstract: In this paper we compare different parallel implementations of the same algorithm for solving nonlinear simulation problems on unstructured meshes. In the first implementation, making use of the message-passing programming model and the PVM system, the domain decomposition of unstructured mesh is implemented, while the second implementation takes advantage of the inherent parallelism of the algorithm by adopting the shared-memory programming model. Both implementations are applied to the preconditioned GMRES method that solves iteratively the system of linear equations. A combined approach, the hybrid programming model suitable for multicomputers with SMP nodes, is introduced. For performance measurements we use compressible fluid flow simulation in which sequences of finite element solutions form time approximations to the Euler equations. The tests are performed on HP SPP1600, HP S2000 and SGI Origin2000 multiprocessors and report wall-clock execution time and speedup for different number of processing nodes and for different meshes. Experimentally, the explicit programming model proves to be more efficient than the implicit model by 20--70%, depends on the mesh and the machine.
Keywords: parallel programming, finite element method, iterative solvers, compressible fluid flow, GMRES method, shared memory and message-passing programming, domain decomposition, PVM, SMP
Journal: Scientific Programming, vol. 9, no. 4, pp. 195-209, 2001
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]