Rigorous solutions of large-scale scattering problems discretized with hundreds of millions of unknowns

Date
2009-09
Advisor
Instructor
Source Title
Proceedings of the 2009 International Conference on Electromagnetics in Advanced Applications, ICEAA '09
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Electronic ISSN
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Pages
1074 - 1077
Language
English
Type
Conference Paper
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Abstract

We present fast and accurate solutions of large-scale scattering problems using a parallel implementation of the multilevel fast multipole algorithm (MLFMA). By employing a hierarchical partitioning strategy, MLFMA can be parallelized efficiently on distributed-memory architectures. This way, it becomes possible to solve very large problems discretized with hundreds of millions of unknowns. Effectiveness of the developed simulation environment is demonstrated on various scattering problems involving canonical and complicated objects. © 2009 IEEE.

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Keywords
Distributed memory, Hierarchical partitioning, Large-scale scattering, Multilevel fast multipole algorithms, Parallel implementations, Rigorous solution, Scattering problems, Simulation environment, Parallel algorithms, Scattering
Citation
Published Version (Please cite this version)