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dc.contributor.authorAyguadé Parra, Eduard
dc.contributor.authorGarcía Almiñana, Jordi
dc.contributor.authorKremer, Ulrich
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2018-05-15T13:55:31Z
dc.date.issued1998-05
dc.identifier.citationAyguade, E., Garcia, J., Kremer, U. Tools and techniques for automatic data layout: a case study. "Parallel computing", Maig 1998, vol. 25, núm. 3-4, p. 557-578.
dc.identifier.issn0167-8191
dc.identifier.urihttp://hdl.handle.net/2117/117237
dc.description.abstractParallel architectures with physically distributed memory providing computing cycles and large amounts of memory are becoming more and more common. To make such architectures truly usable, programming models and support tools are needed to ease the programming effort for these parallel systems. Automatic data distribution tools and techniques play an important role in achieving that goal. This paper discusses state-of-the-art approaches to fully automatic data and computation partitioning. A kernel application is used as a case study to illustrate the main differences of four representative approaches. The paper concludes with a discussion of promising future research directions for automatic data layout.
dc.format.extent22 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles
dc.subject.lcshParallel processing (Electronic computers)
dc.subject.otherDistributed memory multiprocessor
dc.subject.otherData locality
dc.subject.otherAutomatic data and computation partitioning
dc.subject.otherAlignment
dc.subject.otherDistribution
dc.subject.otherRemapping
dc.subject.otherLinear 0–1 integer
dc.subject.otherProgramming technology
dc.titleTools and techniques for automatic data layout: a case study
dc.typeArticle
dc.subject.lemacProcessament en paral·lel (Ordinadors)
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1016/S0167-8191(98)00025-8
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0167819198000258
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac1642793
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorAyguade, E.; Garcia, J.; Kremer, U.
local.citation.publicationNameParallel computing
local.citation.volume25
local.citation.number3-4
local.citation.startingPage557
local.citation.endingPage578


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