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dc.rights.licenseUsers may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributorNewberg, Heidi
dc.contributorVarela, Carlos A.
dc.contributorFranklin, W. Randolph
dc.contributor.authorRayment, Clayton
dc.date.accessioned2021-11-03T08:58:54Z
dc.date.available2021-11-03T08:58:54Z
dc.date.created2018-07-27T14:51:35Z
dc.date.issued2018-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/2159
dc.descriptionMay 2018
dc.descriptionSchool of Science
dc.description.abstractPresentation of an efficient GPU based N-Body octree construction algorithm for use on the MilkyWay@Home project based on parallel tree construction techniques outlined in Karras [2012]. Implementation of GPU based brute force and GPU based tree construction using space-filling curves is discussed. Performance analysis of CPU vs GPU brute force simulation, and CPU vs GPU tree construction. In-depth profiling analysis of GPU tree construction is performed, along with discussion on improvements to the algorithm to further increase performance.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer science
dc.titlePerformance comparison of GPU acceleration of MilkyWay@Home N-body
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid178892
dc.digitool.pid178893
dc.digitool.pid178894
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Computer Science


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