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Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models

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Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models

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dc.contributor.author Castelló-Gimeno, Adrián es_ES
dc.contributor.author Peña Monferrer, Antonio José es_ES
dc.contributor.author Mayo Gual, Rafael es_ES
dc.contributor.author Planas,Judit es_ES
dc.contributor.author Quintana Ortí, Enrique Salvador es_ES
dc.contributor.author Balaji, Pavan es_ES
dc.date.accessioned 2020-07-08T03:32:26Z
dc.date.available 2020-07-08T03:32:26Z
dc.date.issued 2018-11 es_ES
dc.identifier.issn 0920-8542 es_ES
dc.identifier.uri http://hdl.handle.net/10251/147632
dc.description.abstract [EN] Directive-based programming models, such as OpenMP, OpenACC, and OmpSs, enable users to accelerate applications by using coprocessors with little effort. These devices offer significant computing power, but their use can introduce two problems: an increase in the total cost of ownership and their underutilization because not all codes match their architecture. Remote accelerator virtualization frameworks address those problems. In particular, rCUDA provides transparent access to any graphic processor unit installed in a cluster, reducing the number of accelerators and increasing their utilization ratio. Joining these two technologies, directive-based programming models and rCUDA, is thus highly appealing. In this work, we study the integration of OmpSs and OpenACC with rCUDA, describing and analyzing several applications over three different hardware configurations that include two InfiniBand interconnections and three NVIDIA accelerators. Our evaluation reveals favorable performance results, showing low overhead and similar scaling factors when using remote accelerators instead of local devices. es_ES
dc.description.sponsorship The researchers from the Universitat Jaume I de Castello were supported by Universitat Jaume I research project (P11B2013-21), project TIN2014-53495-R, a Generalitat Valenciana grant and FEDER. The researcher from the Barcelona Supercomputing Center (BSC-CNS) Lausanne was supported by the European Commission (HiPEAC-3 Network of Excellence, FP7-ICT 287759), Intel-BSC Exascale Lab collaboration, IBM/BSC Exascale Initiative collaboration agreement, Computacion de Altas Prestaciones VI (TIN2012-34557) and the Generalitat de Catalunya (2014-SGR-1051). This work was partially supported by the U.S. Dept. of Energy, Office of Science, Office of Advanced Scientific Computing Research (SC-21), under contract DE-AC02-06CH11357. The initial version of rCUDA was jointly developed by Universitat Politecnica de Valencia (UPV) and Universitat Jaume I de Castellon (UJI) until year 2010. This initial development was later split into two branches. Part of the UPV version was used in this paper. The development of the UPV branch was supported by Generalitat Valenciana under Grants PROMETEO 2008/060 and Prometeo II 2013/009. We gratefully acknowledge the computing resources provided and operated by the Joint Laboratory for System Evaluation (JLSE) at Argonne National Laboratory. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof The Journal of Supercomputing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject GPUs es_ES
dc.subject Directive-based programming models es_ES
dc.subject OpenACC es_ES
dc.subject OmpSs es_ES
dc.subject Remote virtualization es_ES
dc.subject RCUDA es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11227-016-1791-y es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/287759/EU/High Performance and Embedded Architecture and Compilation/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2014-53495-R/ES/COMPUTACION HETEROGENEA DE BAJO CONSUMO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/DOE//DE-AC02-06CH11357/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UJI//P1-1B2013-21/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-34557/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Generalitat de Catalunya//2014 SGR 1051/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2013%2F009/ES/DESARROLLO DE LIBRERIAS PARA GESTIONAR EL ACCESO A DISPOSITIVOS REMOTOS COMPARTIDOS EN SERVIDORES DE ALTAS PRESTACIONES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Castelló-Gimeno, A.; Peña Monferrer, AJ.; Mayo Gual, R.; Planas, J.; Quintana Ortí, ES.; Balaji, P. (2018). Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models. The Journal of Supercomputing. 74(11):5628-5642. https://doi.org/10.1007/s11227-016-1791-y es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11227-016-1791-y es_ES
dc.description.upvformatpinicio 5628 es_ES
dc.description.upvformatpfin 5642 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 74 es_ES
dc.description.issue 11 es_ES
dc.relation.pasarela S\380790 es_ES
dc.contributor.funder Universitat Jaume I es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Generalitat de Catalunya es_ES
dc.contributor.funder U.S. Department of Energy es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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