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dc.contributor.authorEjarque, Jorgees_ES
dc.contributor.authorDomínguez, Marces_ES
dc.contributor.authorBadia, Rosa M.es_ES
dc.date.accessioned2020-01-03T11:44:44Z-
dc.date.available2020-01-03T11:44:44Z-
dc.date.issued2019-05-01-
dc.identifier.citationInternational Journal of High Performance Computing Applications 33(5): 987-997 (2019)es_ES
dc.identifier.issn1094-3420-
dc.identifier.urihttp://hdl.handle.net/10261/197396-
dc.description.abstractDistributed computing platforms are evolving to heterogeneous ecosystems with Clusters, Grids and Clouds introducing in its computing nodes, processors with different core architectures, accelerators (i.e. GPUs, FPGAs), as well as different memories and storage devices in order to achieve better performance with lower energy consumption. As a consequence of this heterogeneity, programming applications for these distributed heterogeneous platforms becomes a complex task. Additionally to the complexity of developing an application for distributed platforms, developers must also deal now with the complexity of the different computing devices inside the node. In this article, we present a programming model that aims to facilitate the development and execution of applications in current and future distributed heterogeneous parallel architectures. This programming model is based on the hierarchical composition of the COMP Superscalar and Omp Superscalar programming models that allow developers to implement infrastructure-agnostic applications. The underlying runtime enables applications to adapt to the infrastructure without the need of maintaining different versions of the code. Our programming model proposal has been evaluated on real platforms, in terms of heterogeneous resource usage, performance and adaptation.es_ES
dc.description.sponsorshipThe author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work has been supported by the European Commission through the Horizon 2020 Research and Innovation program under contract 687584 (TANGO project) by the Spanish Government under contract TIN2015-65316 and grant SEV-2015-0493 (Severo Ochoa Program) and by Generalitat de Catalunya under contracts 2014-SGR-1051 and 2014-SGR-1272.es_ES
dc.language.isoenges_ES
dc.publisherSage Publicationses_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/687584es_ES
dc.relationMINECO/ICTI2013-2016/TIN2015-65316-Pes_ES
dc.relationMINECO/ICTI2013-2016/SEV-2015-0493es_ES
dc.rightsclosedAccesses_ES
dc.subjectDistributed computinges_ES
dc.subjectHeterogeneous computinges_ES
dc.subjectTask-based parallel programming modelses_ES
dc.titleA hierarchic task-based programming model for distributed heterogeneous computinges_ES
dc.typeartículoes_ES
dc.identifier.doi10.1177/1094342019845438-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1177/1094342019845438es_ES
dc.identifier.e-issn1741-2846-
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.contributor.funderGeneralitat de Catalunyaes_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100002809es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.contributor.orcidEjarque, Jorge [0000-0003-4725-5097]es_ES
dc.contributor.orcidBadia, Rosa M. [0000-0003-2941-5499]es_ES
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