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dc.contributor.authorGraf, Jonathan
dc.contributor.authorGobbert, Matthias K.
dc.date.accessioned2018-09-25T19:39:04Z
dc.date.available2018-09-25T19:39:04Z
dc.date.issued2014
dc.description.abstractWe report parallel performance studies on the newest portion of the cluster maya in the UMBC High Performance Computing Facility (HPCF), referred to as maya 2013, for a parabolic test problem given by a time-dependent, scalar, linear reaction-diffusion equation in three dimensions. The results show very good performance up to 64 compute nodes and support several key conclusions: (i) The newer nodes are faster per core as well as per node, however, for most serial production code using one of the 2010 nodes with 2.8 GHz is a good default. (ii) The high-performance interconnect supports parallel scalability on at least 64 nodes near-optimally. (iii) It is often faster to use all cores on modern multi-core nodes but it is useful to track memory usage to determine if this is the case for memory-bound code.en_US
dc.description.urihttps://userpages.umbc.edu/~gobbert/papers/ParabolicHPCF2014.pdfen_US
dc.format.extent7 pagesen_US
dc.genretechnical reporten_US
dc.identifierdoi:10.13016/M2BN9X650
dc.identifier.urihttp://hdl.handle.net/11603/11380
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofseriesHPCF Technical Report;HPCF-2014-7
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectHigh Performance Computing Facility (HPCF)en_US
dc.subjectparallel performance study
dc.subjectparabolic test problem
dc.subjecttime-dependent, scalar, linear reaction-diffusion equation in three dimensions
dc.titleParallel Performance Studies for a Parabolic Test Problem on maya 2013en_US
dc.typeTexten_US


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