DocumentCode
3313939
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
fYear
2012
fDate
17-19 Aug. 2012
Firstpage
123
Lastpage
126
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4673-2406-9
Type
conf
DOI
10.1109/ICCIS.2012.110
Filename
6300296
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