Solution of large-scale scattering problems with the multilevel fast multipole algorithm parallelized on distributed-memory architectures
Date
2007
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Proceedings of the 22nd International Symposium on Computer and Information Sciences, IEEE 2007
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IEEE
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63 - 68
Language
English
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Abstract
We present the solution of large-scale scattering problems involving three-dimensional closed conducting objects with arbitrary shapes. With an efficient parallelization of the multilevel fast multipole algorithm on relatively inexpensive computational platforms using distributed-memory architectures, we perform the iterative solution of integral-equation formulations that are discretized with tens of millions of unknowns. In addition to canonical problems, we also present the solution of real-life problems involving complicated targets with large dimensions.
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Boolean functions , Communication , Cybernetics , Information management , Information science , Integral equations , Iterative methods , Parallel algorithms , Arbitrary shapes , Canonical problems , Computational platforms , Conducting objects , Distributed memories , Integral-equation , International symposium , Iterative solutions , Large dimensions , Large scale scattering , Multilevel fast multipole algorithm (MLFMA) , Parallelization , Real life problems , Three dimensional (3D) , Parallel processing systems