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dc.contributor.authorGürel, L.en_US
dc.contributor.authorErgül, Ö.en_US
dc.date.accessioned2016-02-08T09:41:47Z
dc.date.available2016-02-08T09:41:47Z
dc.date.issued2013en_US
dc.identifier.issn0018-9219en_US
dc.identifier.urihttp://hdl.handle.net/11693/21141
dc.description.abstractDue to its O(N log N) complexity, the multilevel fast multipole algorithm (MLFMA) is one of the most prized algorithms of computational electromagnetics and certain other disciplines. Various implementations of this algorithm have been used for rigorous solutions of large-scale scattering, radiation, and miscellaneous other electromagnetics problems involving 3-D objects with arbitrary geometries. Parallelization of MLFMA is crucial for solving real-life problems discretized with hundreds of millions of unknowns. This paper presents the hierarchical partitioning strategy, which provides a very efficient parallelization of MLFMA on distributed-memory architectures. We discuss the advantages of the hierarchical strategy over previous approaches and demonstrate the improved efficiency on scattering problems discretized with millions of unknowns. © 1963-2012 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.titleProceedings of the IEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/JPROC.2012.2222331en_US
dc.subjectComputational electromagneticsen_US
dc.subject3D objecten_US
dc.subjectArbitrary geometryen_US
dc.subjectDistributed Memoryen_US
dc.subjectElectromagneticsen_US
dc.subjectHierarchical parallelizationen_US
dc.subjectHierarchical partitioningen_US
dc.subjectLarge-scale scatteringen_US
dc.subjectMultilevel fast multipole algorithmsen_US
dc.subjectParallelizationsen_US
dc.subjectReal-life problemsen_US
dc.subjectRigorous solutionen_US
dc.subjectScattering problemsen_US
dc.subjectSurface integral equationsen_US
dc.subjectAlgorithmsen_US
dc.subjectComputational electromagneticsen_US
dc.titleHierarchical parallelization of the multilevel fast multipole algorithm (MLFMA)en_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentComputational Electromagnetics Research Center (BiLCEM)en_US
dc.citation.spage332en_US
dc.citation.epage341en_US
dc.citation.volumeNumber101en_US
dc.citation.issueNumber2en_US
dc.identifier.doi10.1109/JPROC.2012.2222331en_US
dc.publisherIEEEen_US


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