Title :
Computation Improvement for the Rigorous Coupled-wave Analysis with GPU
Author :
Tong, Jing ; Chen, Shuqiang
Author_Institution :
Dept. Phys. Electron., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
The rigorous coupled-wave analysis (RCWA) technique needs to obtain the exact solution of Maxwell´s equations, a huge number of matrix operations may be involved in the process. The graphics process unit (GPU) has inherent advantage in large-scale parallel computation compared with CPU. In this paper, matrix operations are put on GPU using NVIDIA´s Compute Unified Device Architecture (CUDA). It is shown that by exploitation of the General Purpose Computing based on GPU, several-fold speed up in the numerical efficiency is produced. The numerical experiment is run on NVIDIA´s GPU GTX460, and the results show that GPU performs better than CPU.
Keywords :
Maxwell equations; computational electromagnetics; graphics processing units; matrix algebra; numerical analysis; parallel architectures; CUDA; GPU GTX460; Maxwell equations; NVIDIA; RCWA technique; compute unified device architecture; general purpose computing; graphics process unit; large-scale parallel computation; matrix operations; numerical efficiency; rigorous coupled-wave analysis technique; Central Processing Unit; Eigenvalues and eigenfunctions; Graphics processing unit; Gratings; Mathematical model; Matrix decomposition; Programming; CUDA; GPU; RCWA; matrix operations;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.110