Abstract
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 (180×180×180), 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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Chu, T., Dai, J., Qian, D., Fang, W., Liu, Y. (2010). A Novel Scheme for High Performance Finite-Difference Time-Domain (FDTD) Computations Based on GPU. In: Hsu, CH., Yang, L.T., Park, J.H., Yeo, SS. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2010. Lecture Notes in Computer Science, vol 6081. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13119-6_38
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DOI: https://doi.org/10.1007/978-3-642-13119-6_38
Publisher Name: Springer, Berlin, Heidelberg
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