Investigation of load balancing scalability in space plasma simulations

buir.contributor.authorAykanat, Cevdet
dc.citation.epage562en_US
dc.citation.spage558en_US
dc.citation.volumeNumber7782en_US
dc.contributor.authorTürk, Ataen_US
dc.contributor.authorDemirci, Gündüz V.en_US
dc.contributor.authorAykanat, Cevdeten_US
dc.contributor.authorVon Alfthan, S.en_US
dc.contributor.authorHonkonen I.en_US
dc.coverage.spatialHelsinki, Finlanden_US
dc.date.accessioned2016-02-08T12:08:36Z
dc.date.available2016-02-08T12:08:36Z
dc.date.issued2013en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionConference name: 11th International Conference, PARA 2012en_US
dc.descriptionDate of Conference: June 10-13, 2012en_US
dc.description.abstractIn this study we report the load-balancing performance issues that are observed during the petascaling of a space plasma simulation code developed at the Finnish Meteorological Institute (FMI). The code models the communication pattern as a hypergraph, and partitions the computational grid using the parallel hypergraph partitioning scheme (PHG) of the Zoltan partitioning framework. The result of partitioning determines the distribution of grid cells to processors. It is observed that the initial partitioning and data distribution phases take a substantial percentage of the overall computation time. Alternative (graph-partitioning-based) schemes that provide better balance are investigated. Comparisons in terms of effect on running time and load-balancing quality are presented. Test results on Juelich BlueGene/P cluster are reported. © 2013 Springer-Verlag.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:08:36Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2013en
dc.identifier.doi10.1007/978-3-642-36803-5_46en_US
dc.identifier.doi10.1007/978-3-642-36803-5en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11693/28020en_US
dc.language.isoEnglishen_US
dc.publisherSpringer, Berlin, Heidelbergen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-642-36803-5_46en_US
dc.relation.isversionofhttps://doi.org/10.1007/978-3-642-36803-5en_US
dc.source.titleApplied Parallel and Scientific Computingen_US
dc.subjectCommunication patternen_US
dc.subjectComputation timeen_US
dc.subjectComputational gridsen_US
dc.subjectData distributionen_US
dc.subjectFinnishen_US
dc.subjectGrid cellsen_US
dc.subjectHypergraphen_US
dc.subjectHypergraph partitioningen_US
dc.subjectLoad-Balancingen_US
dc.subjectpartitioningen_US
dc.subjectPartitioning frameworksen_US
dc.subjectPerformance issuesen_US
dc.subjectpetascalingen_US
dc.subjectRunning timeen_US
dc.subjectSpace plasmasen_US
dc.subjectPlasma simulationen_US
dc.subjectNetwork managementen_US
dc.titleInvestigation of load balancing scalability in space plasma simulationsen_US
dc.typeConference Paperen_US

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