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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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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

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Metadatos del ítem

Título: Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models
Autor: Castelló-Gimeno, Adrián Peña Monferrer, Antonio José Mayo Gual, Rafael Planas,Judit Quintana Ortí, Enrique Salvador Balaji, Pavan
Entidad UPV: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Fecha difusión:
Resumen:
[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 ...[+]
Palabras clave: GPUs , Directive-based programming models , OpenACC , OmpSs , Remote virtualization , RCUDA
Derechos de uso: Reserva de todos los derechos
Fuente:
The Journal of Supercomputing. (issn: 0920-8542 )
DOI: 10.1007/s11227-016-1791-y
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s11227-016-1791-y
Código del Proyecto:
info:eu-repo/grantAgreement/EC/FP7/287759/EU/High Performance and Embedded Architecture and Compilation/
...[+]
info:eu-repo/grantAgreement/EC/FP7/287759/EU/High Performance and Embedded Architecture and Compilation/
info:eu-repo/grantAgreement/MINECO//TIN2014-53495-R/ES/COMPUTACION HETEROGENEA DE BAJO CONSUMO/
info:eu-repo/grantAgreement/DOE//DE-AC02-06CH11357/
info:eu-repo/grantAgreement/UJI//P1-1B2013-21/
info:eu-repo/grantAgreement/MINECO//TIN2012-34557/
info:eu-repo/grantAgreement/Generalitat de Catalunya//2014 SGR 1051/
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/
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Agradecimientos:
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 ...[+]
Tipo: Artículo

References

Strohmaier E, Dongarra J, Simon H, Meuer M (2015) TOP500 supercomputing sites. http://www.top500.org/lists/2015/11 . Accessed Nov 2015

NVIDIA (2015) CUDA API reference, version 7.5

Shreiner D, Sellers G, Kessenich JM, Licea-Kane BM (2013) OpenGL programming guide: the official guide to learning OpenGL. Addison-Wesley Professional, Boston [+]
Strohmaier E, Dongarra J, Simon H, Meuer M (2015) TOP500 supercomputing sites. http://www.top500.org/lists/2015/11 . Accessed Nov 2015

NVIDIA (2015) CUDA API reference, version 7.5

Shreiner D, Sellers G, Kessenich JM, Licea-Kane BM (2013) OpenGL programming guide: the official guide to learning OpenGL. Addison-Wesley Professional, Boston

Mark WR, Glanville RS, Akeley K, Kilgard MJ (2003) Cg: a system for programming graphics hardware in a C-like language. ACM Trans Graph (TOG) 22(3):896–907

Munshi A (2014)The OpenCL specification 2.0. 0.5em minus 0.4em Khronos OpenCL working group

OpenACC directives for accelerators (2015). http://www.openacc-standard.org . Accessed Dec 2015

OmpSs project home page. http://pm.bsc.es/ompss . Accessed Dec 2015

OpenMP application program interface 4.0 (2013). OpenMP Architecture Board

Peña AJ (2013) Virtualization of accelerators in high performance clusters. Ph.D. dissertation, Universitat Jaume I, Castellón

Kawai A, Yasuoka K, Yoshikawa K, Narumi T (2012) Distributed-shared CUDA: virtualization of large-scale GPU systems for programmability and reliability. In: International conference on future computational technologies and applications

Shi L, Chen H, Sun J, Li K (2012) vCUDA: GPU-accelerated high-performance computing in virtual machines. IEEE Trans Comput 61(6):804–816

Xiao S, Balaji P, Zhu Q, Thakur R, Coghlan S, Lin H, Wen G, Hong J, Feng W (2012) VOCL: an optimized environment for transparent virtualization of graphics processing units. In: Innovative parallel computing. IEEE, New York

Kim J, Seo S, Lee J, Nah J, Jo G, Lee J (2012) SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters. In: International conference on supercomputing

Duran A, Ayguadé E, Badia RM, Labarta J, Martinell L, Martorell X, Planas J (2011) OmpSs: a proposal for programming heterogeneous multi-core architectures. Parallel Process Lett 21(02):173–193

Castelló A, Duato J, Mayo R, Peña AJ, Quintana-Ortí ES, Roca V, Silla F (2014) On the use of remote GPUs and low-power processors for the acceleration of scientific applications. In: The fourth international conference on smart grids, green communications and IT energy-aware technologies, pp 57–62

Iserte S, Castelló A, Mayo R, Quintana-Ortí ES, Reaño C, Prades J, Silla F, Duato J (2014) SLURM support for remote GPU virtualization: implementation and performance study. In: International symposium on computer architecture and high performance computing (SBAC-PAD)

Peña AJ, Reaño C, Silla F, Mayo R, Quintana-Ortí ES, Duato J (2014) A complete and efficient CUDA-sharing solution for HPC clusters. Parallel Comput 40(10):574–588

Kegel P, Steuwer M, Gorlatch S (2012) dOpenCL: towards a uniform programming approach for distributed heterogeneous multi-/many-core systems. In: International parallel and distributed processing symposium workshops (IPDPSW)

Castelló A, Peña AJ, Mayo R, Balaji P, Quintana-Ortí ES (2015) Exploring the suitability of remote GPGPU virtualization for the OpenACC programming model using rCUDA. In: IEEE international conference on cluster computing

Castelló A, Mayo R, Planas J, Quintana-Ortí ES (2015) Exploiting task-parallelism on GPU clusters via OmpSs and rCUDA virtualization. In: IEEE international workshop on reengineering for parallelism in heterogeneous parallel platforms

HP Corp., Intel Corp., Microsoft Corp., Phoenix Tech. Ltd., Toshiba Corp. (2011) Advanced configuration and power interface specification, revision 5.0

Reaño C, Silla F, Castelló A, Peña AJ, Mayo R, Quintana-Ortí ES, Duato J (2014) Improving the user experience of the rCUDA remote GPU virtualization framework. Concurr Comput 27(14):3746–3770

PGI compilers and tools (2015) http://www.pgroup.com/ . Accessed Dec 2015

Johnson N (2013) EPCC OpenACC benchmark suite. https://www.epcc.ed.ac.uk/ . Accessed Dec 2015

Herdman J, Gaudin W, McIntosh-Smith S, Boulton M, Beckingsale D, Mallinson A, Jarvis SA (2012) Accelerating hydrocodes with OpenACC, OpenCL and CUDA. In: SC companion: high performance computing, networking, storage and analysis

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