Development of a CUDA Implementation of the 3D FDTD Method
Accenture, Kingsley Hall, 20 Bailey Lane, Manchester Airport, Manchester, M90 4AN, UK
IEEE Antennas and Propagation Magazine, Vol. 54, No. 5, 2012
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.
December 12, 2012 by hgpu
