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Performance Comparison of GPU Accele...

Rayment, Clayton.

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Performance Comparison of GPU Acceleration of MilkyWay Home N-body.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Performance Comparison of GPU Acceleration of MilkyWay Home N-body./
Author:	Rayment, Clayton.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	49 p.
Notes:	Source: Masters Abstracts International, Volume: 58-01.
Contained By:	Masters Abstracts International58-01(E).
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10786090
ISBN:	9780438206496

Performance Comparison of GPU Acceleration of MilkyWay Home N-body.
Rayment, Clayton.

Performance Comparison of GPU Acceleration of MilkyWay Home N-body. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 49 p.

Source: Masters Abstracts International, Volume: 58-01.

Thesis (M.S.)--Rensselaer Polytechnic Institute, 2018.

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.

ISBN: 9780438206496Subjects--Topical Terms:

523869
Computer science.

Performance Comparison of GPU Acceleration of MilkyWay Home N-body.
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245 1 0 $a Performance Comparison of GPU Acceleration of MilkyWay Home N-body.
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500 $a Source: Masters Abstracts International, Volume: 58-01.
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502 $a Thesis (M.S.)--Rensselaer Polytechnic Institute, 2018.
520 $a 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.
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