- Title
- A fast scalable implementation of the two-dimensional triangular discrete element Method on a GPU platform
- Creator
- Zhang, Ling; Quigley, Steven; Chan, Andrew
- Date
- 2014
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/71282
- Identifier
- vital:6769
- Identifier
-
https://doi.org/10.1016/j.advengsoft.2012.10.006
- Identifier
- ISSN:0965-9978
- Abstract
- Real-time solution of the Discrete Element Method is a computational challenge that is hardly achievable on standard PCs, especially when a large number of triangular shaped particles are involved. This paper presents a scalable architecture, including a domain decomposition technique, of a GPU accelerator for the two-dimensional Discrete Element Method for triangular shaped particles. This approach achieved a speed up of about 140 times as a single core and about 80 after domain decomposition on a consumer level GPU compared to a similar algorithm run on a fast desktop PC.
- Relation
- Advances in Engineering Software Vol. 60-61, no. June-July (2014), p. 70-80
- Rights
- Copyright Elsevier
- Rights
- This metadata is freely available under a CCO license
- Subject
- Discrete Element Method; Parallel computing; Domain decomposition; General purpose graphic processing unit; FDEM; CUDA; 0915 Interdisciplinary Engineering; 08 Information and Computing Sciences; 09 Engineering
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