Solution of large-scale scattering problems with the multilevel fast multipole algorithm parallelized on distributed-memory architectures
Date
2007
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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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Proceedings of the 22nd International Symposium on Computer and Information Sciences, IEEE 2007
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IEEE
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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
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English