東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Performance Comparison of GPU Accele...

Rayment, Clayton.

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Performance Comparison of GPU Acceleration of MilkyWay Home N-body./
作者:	Rayment, Clayton.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	49 p.
附註:	Source: Masters Abstracts International, Volume: 58-01.
Contained By:	Masters Abstracts International58-01(E).
標題:	Computer science. -
電子資源:	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.
LDR:01464nmm a2200301 4500 001 2199782
005 20181029135741.5
008 201008s2018 ||||||||||||||||| ||eng d
020 $a 9780438206496
035 $a (MiAaPQ)AAI10786090
035 $a (MiAaPQ)rpi:11261
035 $a AAI10786090
040 $a MiAaPQ $c MiAaPQ
100 1 $a Rayment, Clayton. $3 3426527
245 1 0 $a Performance Comparison of GPU Acceleration of MilkyWay Home N-body.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 49 p.
500 $a Source: Masters Abstracts International, Volume: 58-01.
500 $a Adviser: Heidi J. Newberg.
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.
590 $a School code: 0185.
650 4 $a Computer science. $3 523869
650 4 $a Computational physics. $3 3343998
690 $a 0984
690 $a 0216
710 2 $a Rensselaer Polytechnic Institute. $b Computer Science. $3 2094828
773 0 $t Masters Abstracts International $g 58-01(E).
790 $a 0185
791 $a M.S.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10786090