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dc.contributor.authorTintó Prims, Oriol
dc.date.accessioned2015-06-05T10:47:11Z
dc.date.available2015-06-05T10:47:11Z
dc.date.issued2015-05-05
dc.identifier.citationTintó Prims, Oriol. Understanding scientific application's performance. A: "BSC Doctoral Symposium (2nd: 2015: Barcelona)". 2nd ed. Barcelona: Barcelona Supercomputing Center, 2015, p. 145.
dc.identifier.urihttp://hdl.handle.net/2099/16593
dc.description.abstractImprove Earth System model's scalability in High Performance Computing infrastructure is crucial to achieve efficiency in upcoming supercomputers. We study how to increase the scalability of the widely used Oceanic Model of the Nucleus for European Modelling of the Ocean (NEMO).
dc.format.extent1 p.
dc.language.isoeng
dc.publisherBarcelona Supercomputing Center
dc.relation.ispartofBSC Doctoral Symposium (2nd: 2015: Barcelona)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Geologia::Oceanografia
dc.subject.lcshHigh performance computing
dc.subject.lcshSupercomputers
dc.subject.lcshMarine meteorology -- Mathematical models
dc.titleUnderstanding scientific application's performance
dc.typeConference report
dc.subject.lemacCàlcul intensiu (Informàtica)
dc.subject.lemacSupercomputadors
dc.subject.lemacMeteorologia marítima -- Model matemàtics
dc.rights.accessOpen Access
local.citation.authorTintó Prims, Oriol
local.citation.pubplaceBarcelona
local.citation.publicationNameBSC Doctoral Symposium (2nd: 2015: Barcelona)
local.citation.startingPage145
local.citation.endingPage145
local.citation.edition2nd


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