Reducing MLFMA memory with out-of-core implementation and data-structure parallelization

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buir.contributor.authorGürel, Levent
dc.citation.epage37en_US
dc.citation.spage34en_US
dc.contributor.authorHidayetoğlu, Merten_US
dc.contributor.authorKaraosmanoğlu, Barışcanen_US
dc.contributor.authorGürel, Leventen_US
dc.coverage.spatialIzmir, Turkeyen_US
dc.date.accessioned2016-02-08T12:06:12Z
dc.date.available2016-02-08T12:06:12Z
dc.date.issued2013en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentComputational Electromagnetics Research Center (BiLCEM)en_US
dc.descriptionDate of Conference: 2-5 Aug. 2013en_US
dc.description.abstractWe present two memory-reduction methods for the parallel multilevel fast multipole algorithm (MLFMA). The first method implements out-of-core techniques and the second method parallelizes the pre-processing data structures. Together, these methods decrease parallel MLFMA memory bottlenecks, and hence fast and accurate solutions can be achieved for largescale electromagnetics problems.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:06:12Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2013en
dc.identifier.doi10.1109/CEM.2013.6617124en_US
dc.identifier.urihttp://hdl.handle.net/11693/27948
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CEM.2013.6617124en_US
dc.source.titleCEM'13 Computational Electromagnetics International Workshopen_US
dc.subjectElectromagneticsen_US
dc.subjectMemory bottlenecken_US
dc.subjectMulti level fast multipole algorithms (MLFMA)en_US
dc.subjectOut-of-coreen_US
dc.subjectOut-of-core techniquesen_US
dc.subjectParallelizationsen_US
dc.subjectPre-processingen_US
dc.subjectElectromagnetismen_US
dc.subjectRadiationen_US
dc.subjectComputational electromagneticsen_US
dc.titleReducing MLFMA memory with out-of-core implementation and data-structure parallelizationen_US
dc.typeConference Paperen_US

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