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:
Tweet
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
1052109161
Brazil
2
Canada
3
China
131
France
1026698699
Germany
900471121
Greece
1
Hong Kong SAR China
1
Iran
1
Ireland
617909190
Italy
1
Japan
1
Latvia
1
Lithuania
5593045
Luxembourg
1
Mexico
1
Netherlands
64430
Russia
64426
Singapore
1411916894
Sweden
1
Taiwan
1
Turkey
1
Ukraine
8108897
United Kingdom
211985
United States
1052109162
Unknown Country
1800755544
Vietnam
12356786
Downloads
China
17
France
308986811
Germany
3
Ireland
617909191
Lithuania
1
Russia
7
Singapore
1
Switzerland
1
Ukraine
57117
United Kingdom
1
United States
1026698698
Unknown Country
52
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.