Performance comparison of GPU acceleration of MilkyWay@Home N-body

Rayment, Clayton

dc.rights.license	CC BY-NC-ND. Users 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.contributor	Newberg, Heidi
dc.contributor	Varela, Carlos A.
dc.contributor	Franklin, W. Randolph
dc.contributor.author	Rayment, Clayton
dc.date.accessioned	2021-11-03T08:58:54Z
dc.date.available	2021-11-03T08:58:54Z
dc.date.created	2018-07-27T14:51:35Z
dc.date.issued	2018-05
dc.identifier.uri	https://hdl.handle.net/20.500.13015/2159
dc.description	May 2018
dc.description	School of Science
dc.description.abstract	Presentation 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.iso	ENG
dc.publisher	Rensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartof	Rensselaer Theses and Dissertations Online Collection
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Computer science
dc.title	Performance comparison of GPU acceleration of MilkyWay@Home N-body
dc.type	Electronic thesis
dc.type	Thesis
dc.digitool.pid	178892
dc.digitool.pid	178893
dc.digitool.pid	178894
dc.rights.holder	This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degree	MS
dc.relation.department	Dept. of Computer Science

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CC BY-NC-ND. Users 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.

Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users 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.