Speeding Up Particle Trajectory Simulations under Moving Force Fields using GPUs

In this paper, we introduce a GPU-based framework forsimulating 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 experi-
mental 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.