Journal of Atmospheric and Environmental Optics ›› 2014, Vol. 9 ›› Issue (3): 237-243.

• 论文 • Previous Articles     Next Articles

Numerical Simulation of Adaptive Optical Imaging on GPUs

WU Zhen-hua1,2+, TANG Qiu-yan1, WANG Zhong-jie1, MA Wen-jing1,LONG Guo-ping1, LI Yu-cheng1   

  1. (1 Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; 
    2 University of Chinese Academy of Sciences, Beijing 100190, China)
  • Received:2013-10-29 Revised:2013-11-20 Online:2014-05-28 Published:2014-05-21

Abstract:

In the adaptive optics (AO) system, imaging is a very important process. The imaging process of the detectors and Hartman-Shack wavefront sensor in the AO simulation system is calculated with two-dimensional discrete convolution, whose numerical algorithm can be implemented with fast Fourier transformation (FFT). With the increase of the matrix size, the computation of convolution increases dramatically, and becomes a bottleneck of the AO system. To solve the problem, convolution on graphic processing unit(GPU) was implemented, which is a powerful accelerator in modern high performance computers. By applying various optimizations, significant performance improvement is obtained. On the NVIDIA Tesla C2050 GPU, a speedup of 5 to 24 times compared to serial program on the CPU with different image sizes is achieved.

Key words: adaptive optics, imaging, convolution, fast Fourier transformation, graphic processing unit

CLC Number: