GPU accelerated FDTD method for investigation on the EM scattering from 1-D large scale rough surface under low grazing incidence

C.-G. Jia; L.-X. Guo; Peng-ju Yang

doi:10.1117/12.2029529

23 October 2013 GPU accelerated FDTD method for investigation on the EM scattering from 1-D large scale rough surface under low grazing incidence

C.-G. Jia, L.-X. Guo, Peng-ju Yang

Author Affiliations +

Proceedings Volume 8895, High-Performance Computing in Remote Sensing III; 88950G (2013) https://doi.org/10.1117/12.2029529
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

In this paper, the graphic processor unit (GPU) implementation of the finite-difference time domain (FDTD) algorithm is presented to investigate the electromagnetic (EM) scattering from one dimensional (1-D) Gaussian rough soil surface. The FDTD lattices are truncated by uniaxial perfectly matched layer (UPML), in which the finite-difference equations are carried out for the total computation domain. Using Compute Unified Device Architecture (CUDA) technology, significant speedup ratios are achieved for different incident frequencies, which demonstrates the efficiency of GPU accelerated the FDTD method. The validation of our method is verified by comparing the numerical results with these obtained by CPU, which shows favorable agreements.

Citation Download Citation

C.-G. Jia, L.-X. Guo, and Peng-ju Yang "GPU accelerated FDTD method for investigation on the EM scattering from 1-D large scale rough surface under low grazing incidence", Proc. SPIE 8895, High-Performance Computing in Remote Sensing III, 88950G (23 October 2013); https://doi.org/10.1117/12.2029529

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