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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fang Wu Yaojiang Zhang Zaw Zaw Oo Erping Li |
| Copyright Year | 2004 |
| Description | Author affiliation: Div. of Computational Electro-magnetics & Electron., Inst. of High Performance Comput., Singapore, Singapore (Fang Wu; Yaojiang Zhang; Zaw Zaw Oo; Erping Li) |
| Abstract | Electromagnetic scattering analysis for radar cross section (RCS) prediction and electromagnetic compatibility analysis have extensive military and civil applications. Meanwhile, it presents very large computational demands. Parallel multi-level fast multipole method (MLFMM), a powerful and efficient computational algorithm on solving large-scale RCS problems, is developed and implemented on massively parallel, distributed memory computer systems. Multilevel grouping structure is partitioned carefully to separate computational tasks and reduce data communication. Message passing interface (MPI) is employed to perform the data transfer among processors and support the matrix-vector product in parallel iterative procedure. The accuracy of code is verified by comparison with results of benchmark target. The computational complexity and efficiency of parallel MLFMM is discussed. The parallel code is validated on Unix and Linux platforms with different number of processors, and proven to be scalable, portable, and efficient. |
| Sponsorship | High Performance Comput. SIG Information Processing Soc. of Japan IEEE Comput. Soc. Japan Chapter |
| Starting Page | 188 |
| Ending Page | 194 |
| File Size | 350118 |
| Page Count | 7 |
| File Format | |
| ISBN | 076952138X |
| DOI | 10.1109/HPCASIA.2004.1324034 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-07-22 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Large-scale systems Electromagnetic scattering Military computing Electromagnetic analysis Concurrent computing Distributed computing Radar cross section Electromagnetic compatibility Application software Partitioning algorithms |
| Content Type | Text |
| Resource Type | Article |
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