Speeding Up Particle Trajectory Simulations under Moving Force Fields using GPUs
Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland, College Park, Maryland 20742
Journal of Computing and Information Science in Engineering (JCISE), 2012
@article{patro2012speeding,
title={Speeding Up Particle Trajectory Simulations under Moving Force Fields using GPUs},
author={Patro, R. and Dickerson, J.P. and Bista, S. and Gupta, S.K. and Varshney, A.},
year={2012}
}
In this paper, we introduce a GPU-based framework for simulating particle trajectories under both static and dynamic force fields. By exploiting the highly parallel nature of the problem and making efficient use of the available hardware, our simulator exhibits a significant speedup over its CPU-based analog. We apply our framework to a specific experimental simulation: the computation of trapping probabilities associated with micron-sized silica beads in optical trapping workbenches. When evaluating large numbers of trajectories (4096), we see approximately a 356 times speedup of the GPU-based simulator over its CPU-based counterpart.
December 28, 2011 by hgpu
