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

    Author
    Rayment, Clayton
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    178893_Rayment_rpi_0185N_11261.pdf (1.622Mb)
    Other Contributors
    Newberg, Heidi; Varela, Carlos A.; Franklin, W. Randolph;
    Date Issued
    2018-05
    Subject
    Computer science
    Degree
    MS;
    Terms of Use
    This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.;
    Metadata
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    URI
    https://hdl.handle.net/20.500.13015/2159
    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.;
    Description
    May 2018; School of Science
    Department
    Dept. of Computer Science;
    Publisher
    Rensselaer Polytechnic Institute, Troy, NY
    Relationships
    Rensselaer Theses and Dissertations Online Collection;
    Access
    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.;
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    • RPI Theses Online (Complete)
    • RPI Theses Open Access

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