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dc.contributor.advisorFukuda, Munehiroen_US
dc.contributor.authorHart, Nathaniel Breaulten_US
dc.date.accessioned2015-05-11T19:55:55Z
dc.date.available2015-05-11T19:55:55Z
dc.date.submitted2015en_US
dc.identifier.otherHart_washington_0250O_14232.pdfen_US
dc.identifier.urihttp://hdl.handle.net/1773/33066
dc.descriptionThesis (Master's)--University of Washington, 2015en_US
dc.description.abstractAgent based modeling is the practice of simulating complex interactions by modeling the behavior of a single agent in the interaction, then observing the emergent behavior that occurs when many of those Agents interact. As simulation size increases, the computational requirements can become prohibitive, and parallelization of a simulation can be complex. As most users of Agent Based Models are not programmers by trade, most rely on frameworks to develop and parallelize processing of these models. NVIDIA's CUDA programming language is of interest as it can to harness the massively parallel capabilities of graphics processing units. This paper proposes an architecture for such a framework that uses the CUDA programming language to accelerate Agent Based Models while hiding the programming complexities from the end user.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.rightsCopyright is held by the individual authors.en_US
dc.subjectagent based modeling; CUDA; GPGPU; GPU; NVIDIAen_US
dc.subject.otherComputer scienceen_US
dc.subject.otherComputer engineeringen_US
dc.subject.othercomputing and software systemsen_US
dc.titleMASS CUDA: ABSTRACTING MANY CORE PARALLEL PROGRAMMING FROM AGENT BASED MODELING FRAMEWORKSen_US
dc.typeThesisen_US
dc.embargo.termsOpen Accessen_US


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