• 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