Answers are grounded in this paper and cite their sources.
The use of general-purpose computing on a GPU is an effective way to accelerate the FDTD method. This paper introduces flexibility to the theoretically best available approach. It examines the performance on both Tesla- and Fermi-architecture GPUs, and identifies the best way to determine the GPU parameters for the proposed method.
No takes yet. Share an insight, caveat, or question.
Livesey et al. (2012) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: