Static Graphs for Coding Productivity in OpenACC

doi:10.1109/HiPC53243.2021.00050

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RECERCAT Home > Centres de Recerca de Catalunya (CERCA) > Fundació Privada i2CAT, Internet i Innovació Digital a Catalunya > Conference articles > View document

Use this identifier to quote or link this document: http://hdl.handle.net/2072/531315

dc.contributor.author	Toledo Diaz, Leonel Antonio
dc.contributor.author	Valero-Lara, Pedro
dc.contributor.author	Vetter, Jeffrey
dc.contributor.author	Peña, Antonio J.
dc.date.accessioned	2023-02-23T08:49:57Z
dc.date.available	2023-12-01T01:45:07Z
dc.date.issued	2021-12-01
dc.identifier.uri	http://hdl.handle.net/2072/531315
dc.format.extent	6 p.
dc.language.iso	eng
dc.publisher	IEEE
dc.relation.ispartof	2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC)
dc.rights	© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.source	RECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.other	Xarxes d'àrea extensa (Ordinadors)
dc.subject.other	Virtual Reality
dc.subject.other	GPU Programming
dc.subject.other	Computer Graphics
dc.subject.other	Media Internet Area
dc.title	Static Graphs for Coding Productivity in OpenACC
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/acceptedVersion
dc.subject.udc	621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions
dc.embargo.terms	24 mesos
dc.identifier.doi	10.1109/HiPC53243.2021.00050
dc.rights.accessLevel	info:eu-repo/semantics/openAccess
dc.description.abstract	The main contribution of this work is to increase the coding productivity for GPU programming by using the concept of Static Graphs. To do so, we have combined the new CUDA Graph API with the OpenACC programming model. We use as test cases a well-known and widely used problems in HPC and AI: the Particle Swarm Optimization. We complement the OpenACC functionality with the use of CUDA Graph, achieving accelerations of more than one order of magnitude, and a performance very close to a reference and optimized CUDA code. Finally, we propose a new specification to incorporate the concept of Static Graphs into the OpenACC specification.

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