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

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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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Proceedings of the 2009 International Conference on Electromagnetics in Advanced Applications, ICEAA '09

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Published Version (Please cite this version)

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English