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Toward GPU-accelerated Traffic Simulation and Its Real-Time Challenge

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Aplicaciones y Servicios Telemáticos (GAST)es
dc.contributor.authorHirabayashi, Manato
dc.contributor.authorKato, Shinpei
dc.contributor.authorEdahiro, Masato
dc.contributor.authorSugiyama, Yuki
dc.contributor.editorGarcía Valls, Marisol
dc.contributor.editorCucinotta, Tommaso
dc.date.accessioned2013-11-15T09:52:33Z
dc.date.available2013-11-15T09:52:33Z
dc.date.issued2012-12-04
dc.descriptionREACTION 2012. 1st International workshop on Real-time and distributed computing in emerging applications. December 4th, 2012, San Juan, Puerto Rico.es
dc.description.abstractTraffic simulation is a growing domain of computational physics. Many life and industrial applications would benefit from traffic simulation to establish reliable transportation systems. A core challenge of this science research, however, is its unbounded scale of computation. This paper explores an advantage of using the graphics processing unit (GPU) for this computational challenge. We study two schemes of maximizing GPU performance in the context of traffic simulation, and provide some basic experiments. The experimental results show that our GPU implementation improves simulation speed by five times over the traditional CPU implementation. We also discuss that additional orders-ofmagnitude improvements could be achieved by overcoming the current hardware limitation of the GPU.es
dc.description.sponsorshipThis work was supported by Grant-in-Aid for Scientific Research 24500058.es
dc.format.extent6es
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationREACTION 2012, co-located with IEEE RTSS. San Juan, Puerto Rico. December 4th, 2012. Universidad Carlos III de Madrid, 2012, pp. 45-50es
dc.identifier.publicationfirstpage45es
dc.identifier.publicationlastpage50es
dc.identifier.publicationtitleInternational Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION, 2012)es
dc.identifier.urihttps://hdl.handle.net/10016/17925
dc.language.isoenges
dc.publisherUniversidad Carlos III de Madrides
dc.relation.eventdateDecember 4, 2012es
dc.relation.eventnumber1
dc.relation.eventplaceSan Juan, Puerto Ricoes
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherGPU schedulinges
dc.subject.otherTraffic simulationes
dc.subject.otherReal-timees
dc.titleToward GPU-accelerated Traffic Simulation and Its Real-Time Challengees
dc.typeconference proceedings*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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REACTION 2012. First International Workshop on Real-time and distributed computing in emerging applications