A fast scalable implementation of the two-dimensional triangular Discrete Element Method on a GPU platform

Authors:
Lin Zhang;Steven F. Quigley;Andrew H. C. Chan
Affiliations:
School of Electronic, Electrical & Computer Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK;School of Electronic, Electrical & Computer Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK;School of Civil Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
Venue:
Advances in Engineering Software
Year:
2013

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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.