Hierarchical parallelisation strategy for multilevel fast multipole algorithm in computational electromagnetics

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buir.contributor.authorGürel, Levent
buir.contributor.authorErgül, Özgür
dc.citation.epage5en_US
dc.citation.issueNumber1en_US
dc.citation.spage3en_US
dc.citation.volumeNumber44en_US
dc.contributor.authorErgül, Özgüren_US
dc.contributor.authorGürel, Leventen_US
dc.date.accessioned2016-02-08T10:10:48Z
dc.date.available2016-02-08T10:10:48Z
dc.date.issued2008en_US
dc.departmentComputational Electromagnetics Research Center (BiLCEM)en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractA hierarchical parallelisation of the multilevel fast multipole algorithm (MLFMA) for the efficient solution of large-scale problems in computational electromagnetics is presented. The tree structure of MLFMA is distributed among the processors by partitioning both the clusters and the samples of the fields appropriately for each level. The parallelisation efficiency is significantly improved compared to previous approaches, where only the clusters or only the fields are partitioned in a level.en_US
dc.identifier.doi10.1049/el:20082282en_US
dc.identifier.eissn1350-911X
dc.identifier.issn0013-5194
dc.identifier.urihttp://hdl.handle.net/11693/23245
dc.language.isoEnglishen_US
dc.publisherThe Institution of Engineering and Technologyen_US
dc.relation.isversionofhttp://doi.org/10.1049/el:20082282en_US
dc.source.titleElectronics Lettersen_US
dc.titleHierarchical parallelisation strategy for multilevel fast multipole algorithm in computational electromagneticsen_US
dc.typeArticleen_US

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