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dc.contributor.authorLlanos Ferraris, Diego Rafael 
dc.contributor.authorGarcia, J. Daniel
dc.date.accessioned2019-11-05T18:15:35Z
dc.date.available2019-11-05T18:15:35Z
dc.date.issued2018
dc.identifier.citation9. High-Level Parallel Programming in an Heterogeneous World (Editorial, HLPP Special Issue). Jose Daniel Garcia, Diego R. Llanos. Published online in Concurrency and Computation, Practice and Experience, John Wiley and Sons, ISSN 1532-0634 (Q2), DOI 10.1002/cpe.5052.es
dc.identifier.issn0920-8542es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/39042
dc.description.abstractDuring the last decade, parallel programming has evolved in an unprecedent way. Fifteen years ago, the future of parallel computing seemed to consist on the advent of multicore processors composed by an ever‐increasing number in the core count per CPU, and their interconnection to form larger clusters. Programming models, such as OpenMP1 that allows to transform sequential C and Fortran codes into parallel versions with low effort, without requiring to explicitly handle threads or to share memory among them, seemed to be the winner choice in a world where computers would include more and more cores inside a single chip. Message‐passing paradigms, such as MPI,2 provided a solution to interconnect these computers in larger facilities.es
dc.format.mimetypeapplication/pdfes
dc.language.isospaes
dc.publisherConcurrency and Computation, Practice and Experiencees
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses
dc.titleComputational and mathematical models meet heterogeneous computinges
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1002/cpe.5052es
dc.identifier.publicationlastpage1000es
dc.peerreviewedSIes
dc.description.projectEste trabajo forma parte del proyecto de investigación PCAS Grant TIN2017-88614-R y la Junta de Castilla y León, proyecto PROPHET, VA082P17.es
dc.identifier.essn1573-0484es
dc.type.hasVersioninfo:eu-repo/semantics/draftes


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