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GPU-based accelerated FDTD simulations for double negative (DNG) materials applications

Shen Chen, Sun Dong, Wu Xian-liang
Key Lab. of Intell. Comput. & Signal Process. of Minist. of Educ., Anhui Univ., Hefei, China
International Conference on Microwave and Millimeter Wave Technology (ICMMT), 2010

@inproceedings{chen2010gpu,

   title={GPU-based accelerated FDTD simulations for double negative (DNG) materials applications},

   author={Chen, S. and Dong, S. and Xian-liang, W.},

   booktitle={Microwave and Millimeter Wave Technology (ICMMT), 2010 International Conference on},

   pages={839–841},

   organization={IEEE},

   year={2010}

}

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Recently, double-negative meta-materials are widely studied in scientific research. The double-negative (DNG) mediums are characterized by simultaneous negative permittivity and permeability. In order to make the FDTD method analyze the electromagnetic scattering and propagation for double-negative (DNG) medium, z-transform is applied to the FDTD method in the double-negative (DNG) medium. For the simulations, extremely large computer memory space and a long computational time is required. A parallel algorithm for the FDTD method on the state of the art graphics hardware is presented. The parallel computing techniques can be used to reduce the computation time significantly and have been widely applied in various complex FDTD applications. In this paper, we simulate the interaction between electromagnetic wave and DNG medium, and describe an impact of new GPU features on development process of an efficient Finite Difference Time Domain (FDTD) implementation.
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