Assessing the feasibility of OpenCL CPU implementations for agent-based simulations

dc.contributor.authorFachada, Nuno
dc.contributor.authorRosa, Agostinho C.
dc.contributor.institutionEscola de Comunicação, Arquitetura, Artes e Tecnologias da Informação
dc.date.issued2017-05
dc.descriptionIWOCL 2017: Proceedings of the 5th International Workshop on OpenCL
dc.description.abstractAgent-based modeling (ABM) is a bottom-up modeling approach, where each entity of the system being modeled is uniquely represented as a self-determining agent. Large scale emergent behavior in ABMs is population sensitive. As such, it is advisable that the number of agents in a simulation is able to reflect the reality of the system being modeled. This means that in domains such as social modeling, ecology, and biology, systems can contain millions or billions of individuals. Such large scale simulations are only feasible in non-distributed scenarios when the computational power of commodity processors, such as GPUs and multi-core CPUs, is fully exploited. In this paper we evaluate the feasibility of using CPU-oriented OpenCL for high-performance simulations of agent-based models. We compare a CPU-oriented OpenCL implementation of a reference ABM against a parallel Java version of the same model. We show that there are considerable gains in using CPU-based OpenCL for developing and implementing ABMs, with speedups up to 10x over the parallel Java version on a 10-core hyper-threaded CPU.en
dc.description.statusNon peer reviewed
dc.formatapplication/pdf
dc.identifier.citationFachada , N & Rosa , A C 2017 , ' Assessing the feasibility of OpenCL CPU implementations for agent-based simulations ' , Paper presented at AGENT-BASED MODELING , 1/05/17 .
dc.language.isoeng
dc.publisherAGENT-BASED MODELING
dc.rightsopenAccess
dc.subjectMODELAÇÃO BASEADA EM AGENTES
dc.subjectOPENCL
dc.subjectCOMPUTAÇÃO DE ALTO DESEMPENHO
dc.subjectOPENCL
dc.subjectHIGH-PERFORMANCE COMPUTING
dc.titleAssessing the feasibility of OpenCL CPU implementations for agent-based simulationsen
dc.typeconferenceObject

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