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A Novel Scheme for High Performance Finite-Difference Time-Domain (FDTD) Computations Based on GPU

Tianshu Chu, Jian Dai, Depei Qian, Weiwei Fang, Yi Liu
School of Computer Science and Engineering, Beihang University, 100191, Beijing, P.R. China
In Algorithms and Architectures for Parallel Processing, Vol. 6081 (2010), pp. 441-453.

@article{chu2010novel,

   title={A Novel Scheme for High Performance Finite-Difference Time-Domain (FDTD) Computations Based on GPU},

   author={Chu, T. and Dai, J. and Qian, D. and Fang, W. and Liu, Y.},

   journal={Algorithms and Architectures for Parallel Processing},

   pages={441–453},

   year={2010},

   publisher={Springer}

}

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Finite-Difference Time-Domain (FDTD) has been proved to be a very useful computational electromagnetic algorithm. However, the scheme based on traditional general purpose processors can be computationally prohibitive and require thousands of CPU hours, which hinders the large-scale application of FDTD. With rapid progress on GPU hardware capability and its programmability, we propose in this paper a novel scheme in which GPU is applied to accelerate three-dimensional FDTD with UPML absorbing boundary conditions. This GPU-based scheme can reduce the computation time significantly, while obtaining high accuracy as compared with the CPU-based scheme. With only one AMD ATI HD4850 GPU, when computational domain is up to (180x180x180), our implementation of the GPU-based FDTD performs approximately 93 times faster than the one running with Intel E2180 dual cores CPU.
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