Please use this identifier to cite or link to this item: http://essuir.sumdu.edu.ua/handle/123456789/34839
Or use following links to share this resource in social networks: Recommend this item
Title An efficient CUDA implementation of the tree-based Barnes hut n-body algorithm
Authors Reva, V.V.
ORCID
Keywords моделювання
моделирование
алгоритми
алгоритмы
algorithms
Type Conference Papers
Date of Issue 2014
URI http://essuir.sumdu.edu.ua/handle/123456789/34839
Publisher Сумський державний університет
License
Citation Reva, V.V. An efficient CUDA implementation of the tree-based Barnes hut n-body algorithm [Текст] / V.V. Reva ; ELA A.M. Dyadechko // Соціально-гуманітарні аспекти розвитку сучасного суспільства : матеріали Всеукраїнської наукової конференції викладачів, аспірантів, співробітників та студентів, м. Суми, 21-22 квітня 2014 р. / Відп. за вип. О.М. Сушкова. — Суми : СумДУ, 2014. — С. 380.
Abstract The Barnes Hut force-calculation algorithm [1] is widely used in n-body simulations such as modeling the motion of galaxies. It hierarchically decomposes the space around the bodies into successively smaller boxes, called cells, and computes summary information for the bodies contained in each cell, allowing the algorithm to quickly approximate the forces (e.g., gravitational, electric, or magnetic) that the n bodies induce upon each other. The hierarchical decomposition is recorded in an octree, which is the three-dimensional equivalent of a binary tree. With n bodies, the precise force calculation needs to evaluate O(n2) interactions. The Barnes Hut algorithm reduces this complexity to O (n log n) and thus makes interesting problem sizes computationally tractable. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/34839
Appears in Collections: Наукові видання (ІФСК)

Views

Australia Australia
1052109161
Brazil Brazil
2
Canada Canada
3
China China
131
France France
1026698699
Germany Germany
900471121
Greece Greece
1
Hong Kong SAR China Hong Kong SAR China
1
Iran Iran
1
Ireland Ireland
617909190
Italy Italy
1
Japan Japan
1
Latvia Latvia
1
Lithuania Lithuania
5593045
Luxembourg Luxembourg
1
Mexico Mexico
1
Netherlands Netherlands
64430
Russia Russia
64426
Singapore Singapore
1411916894
Sweden Sweden
1
Taiwan Taiwan
1
Turkey Turkey
1
Ukraine Ukraine
8108897
United Kingdom United Kingdom
211985
United States United States
1052109162
Unknown Country Unknown Country
1800755544
Vietnam Vietnam
12356786

Downloads

China China
17
France France
308986811
Germany Germany
3
Ireland Ireland
617909191
Lithuania Lithuania
1
Russia Russia
7
Singapore Singapore
1
Switzerland Switzerland
1
Ukraine Ukraine
57117
United Kingdom United Kingdom
1
United States United States
1026698698
Unknown Country Unknown Country
52
Vietnam Vietnam
1

Files

File Size Format Downloads
Reva .pdf 83.45 kB Adobe PDF 1953651901

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.