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Development of a CUDA Implementation of the 3D FDTD Method

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6 Author(s)

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.

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Antennas and Propagation Magazine, IEEE  (Volume:54 ,  Issue: 5 )