GPU-based neighbor-search algorithm for particle simulations

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buir.contributor.authorGüdükbay, Uğur
dc.citation.epage42en_US
dc.citation.issueNumber1en_US
dc.citation.spage31en_US
dc.citation.volumeNumber14en_US
dc.contributor.authorBayraktar, S.en_US
dc.contributor.authorGüdükbay, Uğuren_US
dc.contributor.authorÖzgüç, B.en_US
dc.date.accessioned2019-02-20T14:22:15Z
dc.date.available2019-02-20T14:22:15Z
dc.date.issued2009en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractThis paper presents a neighbor-search technique to be used in a GPU-based particle simulation framework. Neighbor searching is usually the most computationally expensive step in particle simulations. The usual approach is to subdivide the simulation space to speed up neighbor search. Here, we present a grid-based neighbor-search technique designed to work on programmable graphics hardware.en_US
dc.description.provenanceSubmitted by Burcu Böke (tburcu@bilkent.edu.tr) on 2019-02-20T14:22:15Z No. of bitstreams: 1 GPU_Based_Neighbor_Search_Algorithm_for_Particle_Simulations.pdf: 512944 bytes, checksum: 2178b9c624f22161bc51de75dd7282be (MD5)en
dc.description.provenanceMade available in DSpace on 2019-02-20T14:22:15Z (GMT). No. of bitstreams: 1 GPU_Based_Neighbor_Search_Algorithm_for_Particle_Simulations.pdf: 512944 bytes, checksum: 2178b9c624f22161bc51de75dd7282be (MD5) Previous issue date: 2009en
dc.identifier.doi10.1080/2151237X.2009.10129272en_US
dc.identifier.eissn2151-2272en_US
dc.identifier.issn2151-237Xen_US
dc.identifier.urihttp://hdl.handle.net/11693/49626en_US
dc.language.isoEnglishen_US
dc.publisherTaylor & Francis Inc.en_US
dc.relation.isversionofhttps://doi.org/10.1080/2151237X.2009.10129272en_US
dc.source.titleJournal of Graphics, GPU, and Game Toolsen_US
dc.titleGPU-based neighbor-search algorithm for particle simulationsen_US
dc.typeArticleen_US

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