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Solution of large-scale scattering problems with the multilevel fast multipole algorithm parallelized on distributed-memory architectures
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Date
2007-11-09
Author
Ergül, Özgür Salih
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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.
Subject Keywords
Large-scale systems
,
Computational electromagnetics
,
Distributed computing
,
Shape
,
Testing
,
Computer architecture
,
Concurrent computing
,
Integral equations
,
Electromagnetic scattering
,
MLFMA
URI
https://hdl.handle.net/11511/41343
DOI
https://doi.org/10.1109/iscis.2007.4456837
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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We present fast and accurate solutions of extremely large scattering problems involving three-dimensional metallic objects discretized with hundreds of millions of unknowns. Solutions are performed by the multilevel fast multipole algorithm, which is parallelized efficiently via a hierarchical partition strategy. Various examples involving canonical and complicated objects are presented in order to demonstrate the feasibility of accurately solving large-scale problems on relatively inexpensive computing pla...
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Ö. S. Ergül, “Solution of large-scale scattering problems with the multilevel fast multipole algorithm parallelized on distributed-memory architectures,” 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41343.