Optimizing the exploitation of multicore processors and GPUs with OpenMP and OpenCL

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/24821

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor	Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.contributor.author	Ferrer, Roger
dc.contributor.author	Planas Carbonell, Judit
dc.contributor.author	Bellens, Pieter
dc.contributor.author	Duran Gonzalez, Alejandro
dc.contributor.author	González Tallada, Marc
dc.contributor.author	Martorell Bofill, Xavier
dc.contributor.author	Badia Sala, Rosa Maria
dc.contributor.author	Ayguadé Parra, Eduard
dc.contributor.author	Labarta Mancho, Jesús José
dc.date	2010
dc.identifier.citation	Ferrer, R. [et al.]. Optimizing the exploitation of multicore processors and GPUs with OpenMP and OpenCL. A: International Workshop on Languages and Compilers for Parallel Computing. "Languages and Compilers for Parallel Computing 23rd International Workshop, LCPC 2010: Houston, TX: USA, October 7-9, 2010: revised selected papers". Houston, Texas: Springer, 2010, p. 215-229.
dc.identifier.citation	978-3-642-19594-5
dc.identifier.citation	10.1007/978-3-642-19595-2_15
dc.identifier.uri	http://hdl.handle.net/2117/24821
dc.language.iso	eng
dc.publisher	Springer
dc.relation	http://link.springer.com/chapter/10.1007%2F978-3-642-19595-2_15
dc.relation	info:eu-repo/grantAgreement/EC/FP7/249013/EU/Exploiting dataflow parallelism in Teradevice Computing/TERAFLUX
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles
dc.subject	Àrees temàtiques de la UPC::Informàtica::Llenguatges de programació
dc.subject	Parallel programming (Computer science)
dc.subject	Programming languages (Electronic computers)
dc.subject	Programming languages
dc.subject	Compilers
dc.subject	Interpreters
dc.subject	Programming techniques
dc.subject	Data structures
dc.subject	Computing methodologies
dc.subject	Models and principles
dc.subject	Computer communication networks
dc.subject	Programació en paral·lel (Informàtica)
dc.subject	Llenguatges de programació
dc.title	Optimizing the exploitation of multicore processors and GPUs with OpenMP and OpenCL
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	In this paper, we present OMPSs, a programming model based on OpenMP and StarSs, that can also incorporate the use of OpenCL or CUDA kernels. We evaluate the proposal on three different architectures, SMP, Cell/B.E. and GPUs, showing the wide usefulness of the approach. The evaluation is done with four different benchmarks, Matrix Multiply, BlackScholes, Perlin Noise, and Julia Set. We compare the results obtained with the execution of the same benchmarks written in OpenCL, in the same architectures. The results show that OMPSs greatly outperforms the OpenCL environment. It is more flexible to exploit multiple accelerators. And due to the simplicity of the annotations, it increases programmer’s productivity.
dc.description.abstract	Peer Reviewed

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