Parallelized physical optics computations for the RCS prediction of rough surface by CUDA

Xiao Meng; Li-xin Guo

doi:10.1117/12.2052076

22 May 2014 Parallelized physical optics computations for the RCS prediction of rough surface by CUDA

Xiao Meng, Li-xin Guo

Proceedings Volume 9124, Satellite Data Compression, Communications, and Processing X; 91240P (2014) https://doi.org/10.1117/12.2052076
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

The problem of wave scattering by rough surfaces has been studied extensively by scientists and engineers because of its wide applications in science and technology. In this letter, the Physical Optics method, which is a high frequency technique, is presented for analyzing the scattering of rough surface. In addition, the compute unified device architecture of NVIDIA takes advantage of the Graphics Processing Units for parallel computing, and greatly improves the speed of computation. As there is a large number of data to deal with, a parallelization concept is presented which is based on the utilization of GPU to further improve the computational efficiency. In the end, the simulation time of CPU-based Physical Optics method and GPU-based Physical Optics method are compared, and it can be found that good acceleration effect has been achieved.

Citation Download Citation

Xiao Meng and Li-xin Guo "Parallelized physical optics computations for the RCS prediction of rough surface by CUDA", Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 91240P (22 May 2014); https://doi.org/10.1117/12.2052076

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