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dc.contributor.authorFresno, Javier
dc.contributor.authorGonzalez-Escribano, Arturo
dc.contributor.authorLlanos Ferraris, Diego Rafael 
dc.date.accessioned2024-10-04T14:32:00Z
dc.date.available2024-10-04T14:32:00Z
dc.date.issued2014
dc.identifier.citationIEEE Transactions on Parallel and Distributed Systems, Vol. 25, no. 10, October 2014, pages 2509-2519, ISSN 1045-9219es
dc.identifier.issn1045-9219es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/70431
dc.descriptionProducción Científicaes
dc.description.abstractDealing with both dense and sparse data in parallel environments usually leads to two different approaches: To rely on a monolithic, hard-to-modify parallel library, or to code all data management details by hand. In this paper we propose a third approach, that delivers good performance while the underlying library structure remains modular and extensible. Our solution integrates dense and sparse data management using a common interface, that also decouples data representation, partitioning, and layout from the algorithmic and parallel strategy decisions of the programmer. Our experimental results in different parallel environments show that this new approach combines the flexibility obtained when the programmer handles all the details with a performance comparable to the use of a state-of-the-art, sparse matrix parallel library.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherIEEEes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subjectInformáticaes
dc.subject.classificationData partitiones
dc.subject.classificationMapping techniqueses
dc.subject.classificationsparse structureses
dc.subject.classificationParallel librarieses
dc.titleBlending Extensibility and Performance in Dense and Sparse Parallel Data Managementes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1109/TPDS.2013.248es
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/6616547/es
dc.identifier.publicationfirstpage2509es
dc.identifier.publicationissue10es
dc.identifier.publicationlastpage2519es
dc.identifier.publicationtitleIEEE Transactions on Parallel and Distributed Systemses
dc.identifier.publicationvolume25es
dc.peerreviewedSIes
dc.description.projectThis research is partly supported by the Castilla-Leon Regional Government (VA172A12-2); Ministerio de Industria, Spain (CENIT OCEANLIDER); MICINN (Spain) and the European Union FEDER (Mogecopp project TIN2011-25639, CAPAP-H3 network TIN2010-12011-E, CAPAP-H4 network TIN2011-15734-E); and the HPC-EUROPA2 project (project number: 228398) with the support of the European Commission—Capacities Area—Research Infrastructures Initiative.es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco1203 Ciencia de Los Ordenadoreses
dc.subject.unesco3304 Tecnología de Los Ordenadoreses


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