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dc.contributor.authorHidayetoğlu, Merten_US
dc.contributor.authorGürel, Leventen_US
dc.coverage.spatialMemphis, TN, USAen_US
dc.date.accessioned2016-02-08T12:00:09Z
dc.date.available2016-02-08T12:00:09Z
dc.date.issued2014en_US
dc.identifier.issn1522-3965
dc.identifier.urihttp://hdl.handle.net/11693/27718
dc.descriptionDate of Conference: 6-11 July 2014en_US
dc.description.abstractWe present two memory reduction methods for the parallel multilevel fast multipole algorithm. One of these methods uses data structures out of core, and the other parallelizes the data structures related to input geometry. With these methods, large-scale electromagnetic scattering problems can be solved on modest parallel computers. © 2014 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.title2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/APS.2014.6904704en_US
dc.subjectAlgorithmsen_US
dc.subjectData structuresen_US
dc.subjectLarge-scale electromagnetic scatteringsen_US
dc.subjectLarge-scale problemen_US
dc.subjectMemory reductionen_US
dc.subjectMulti-level fast multi-pole algorithmen_US
dc.subjectOut-of-coreen_US
dc.subjectParallel computeren_US
dc.subjectElectromagnetic wave scatteringen_US
dc.titleMLFMA memory reduction techniques for solving large-scale problemsen_US
dc.typeConference Paperen_US
dc.departmentComputational Electromagnetics Research Center (BiLCEM)en_US
dc.citation.spage749en_US
dc.citation.epage750en_US
dc.identifier.doi10.1109/APS.2014.6904704en_US
dc.publisherIEEEen_US
dc.contributor.bilkentauthorGürel, Levent


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