Crowd simulation based on flocking behaviour on parallel CUDA platform

Norhafiza Hamzah, and Norsuhaila Yusof, and Z. A Omar, (2014) Crowd simulation based on flocking behaviour on parallel CUDA platform. Borneo Science, 35. pp. 34-38. ISSN 1394-4339

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Abstract

This research is focused on flocking behaviour algorithm to simulate the crowd on parallel GPU using CUDA technology. The analysis of frame rates is conducted to compare the crowd simulation on parallel GPU platform and on a single processor. The result shows that the crowd simulation on a parallel GPU platform is 15 frames per second for 16, 384 characters. This result is equivalent with the number of frames per second for crowd simulation on a single processor with 576 characters. Thus, the results demonstrate that crowd simulation is more efficient on the parallel GPU platform especially for the large scale data.

Item Type: Article
Uncontrolled Keywords: Crowd simulation, Flocking behaviour, GPU computing, CUDA
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: FACULTY > Faculty of Science and Natural Resources
Depositing User: Munira
Date Deposited: 16 Mar 2018 04:15
Last Modified: 16 Mar 2018 04:15
URI: http://eprints.ums.edu.my/id/eprint/19162

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