GPU based simulation of collision detection of irregular vessel walls

Yong, B; Shen, J; Sun, H; Xu, Z; Liu, J; Zhou, Q

GPU based simulation of collision detection of irregular vessel walls

Yong, B Shen, J

Sun, H Xu, Z Liu, J Zhou, Q

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Electrical Engineering, 2018, 422 pp. 443 - 453
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Yong, B	en_US
dc.contributor.author	Shen, J https://orcid.org/0000-0002-9403-7140	en_US
dc.contributor.author	Sun, H	en_US
dc.contributor.author	Xu, Z	en_US
dc.contributor.author	Liu, J	en_US
dc.contributor.author	Zhou, Q	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Lecture Notes in Electrical Engineering, 2018, 422 pp. 443 - 453	en_US
dc.identifier.isbn	9789811031861	en_US
dc.identifier.issn	1876-1100	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133718
dc.description.abstract	© Springer Nature Singapore Pte Ltd. 2018. Collision detection is a commonly used technique in the fields of computer games, physical simulation, virtual technology, computing and animation. When simulating the process of particle collision of ADS (Accelerator Driven Sub-Critical) system, complex and irregular vessel walls need to be considered. Generally, an irregular vessel wall is a curve surface, which cannot be defined as an exact mathematical function, and it is difficult to calculate the distance between particles and the wall directly. In this paper, we present an algorithm to perform collision detection between particles and irregular wall. When the number of particles reaches the level of 106, our algorithm implements a considerable improvement in performance if running on GPU, nearly 10 times faster than running on CPU. Results have demonstrated that our algorithm is promising.	en_US
dc.relation.ispartof	Lecture Notes in Electrical Engineering	en_US
dc.relation.isbasedon	10.1007/978-981-10-3187-8_42	en_US
dc.title	GPU based simulation of collision detection of irregular vessel walls	en_US
dc.type	Conference Proceeding
utslib.citation.volume	422	en_US
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	422	en_US

Abstract:

© Springer Nature Singapore Pte Ltd. 2018. Collision detection is a commonly used technique in the fields of computer games, physical simulation, virtual technology, computing and animation. When simulating the process of particle collision of ADS (Accelerator Driven Sub-Critical) system, complex and irregular vessel walls need to be considered. Generally, an irregular vessel wall is a curve surface, which cannot be defined as an exact mathematical function, and it is difficult to calculate the distance between particles and the wall directly. In this paper, we present an algorithm to perform collision detection between particles and irregular wall. When the number of particles reaches the level of 106, our algorithm implements a considerable improvement in performance if running on GPU, nearly 10 times faster than running on CPU. Results have demonstrated that our algorithm is promising.

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http://hdl.handle.net/10453/133718