Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Implementation of Parallel Computer Generated Hologram Using Multi-GPGPU

다중 GPGPU를 이용한 컴퓨터 생성 홀로그램의 병렬화 구현

  • Seo, Young-Ho (College of Liberal Arts, Kwangwoon University) ;
  • Lee, Yoon-Hyuk (Department of Electronic Materials Engineering, Kwangwoon University) ;
  • Kim, Dong-Wook (Department of Electronic Materials Engineering, Kwangwoon University)
  • Received : 2014.04.12
  • Accepted : 2014.05.07
  • Published : 2014.05.31
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Abstract

Computer-generated hologram (CGH) is to mathematically model optical phenomenon with digital computer. Because it requires huge amount of computational power, a fast and high performance technique is needed. In this paper, we proposed two parallelizations for CGH calculation. The first is to parallelize CGH algorithm in a GPU (general processing unit) and the second is to parallelize multiple GPUs. The proposed algorithm was implemented in GTX780 Ti GPU. It calculates a $1,024{\times}1,024$ hologram with 10K object points for about 24ms.

컴퓨터생성홀로그램은 수학적으로 모델링된 광학적인 현상을 컴퓨터로 연산한 것이다. 이때 방대한 량의 연산이 필요하기 때문에 실시간으로 고해상도의 홀로그램을 얻기 위해서는 고속 기법이 필요하다. 본 논문에서는 CGH를 위한 두 가지 병렬화를 제안한다. 첫 번째는 GPU 내에서 CGH 알고리즘을 병렬화하는 것이고, 두 번째는 다수의 GPU를 위한 병렬화이다. 제안한 알고리즘 구조는 CUDA를 이용하여 GTX780 Ti GPU에 구현하였다. 약 10K의 입체 정보를 이용하여 $1,024{\times}1,024$의 컬러 홀로그램을 생성하는데 약 106ms가 소요된다.

Keywords

References

  1. T. Motoki, H. Isono, and I. Yuyama, "Present Status of Three-Dimensional Television Research," Proc. IEEE 83(7): 1009-1021(July 1995). https://doi.org/10.1109/5.390119
  2. T. Ito, N. Masuda, K. Yoshimura, A. Shiraki, T. Shimobaba, and T. Sugie, "Special-Purpose computer HORN-5 for a real-time electroholography," Optics Express, Vol. 13, No. 6, March 2005.
  3. Y. Ichihashi, H. Nakayama, T. Ito, N, Masuda, T. Shimobaba, A, Shiraki, and T. Sugie, "HORN-6 specialpurpose clustered computing system for electroholography", Optics Express, vol. 17, no. 16, pp. 13895-13903, Aug, 2009. https://doi.org/10.1364/OE.17.013895
  4. Y.-H. Seo, H.-J. Choi, J.-S. Yoo, and D.-W. Kim, "An architecture of a high-speed digital hologram generator based on FPGA", Journal of Systems Architecture, Vol. 56. pp. 27-37, Dec. 2009.
  5. Y.-H. Seo, H.-J. Choi, J.-S. Yoo, and D.-W. Kim, "A New Parallelizing Algorithm and Cell-based Hardware Architecture for High-speed Generation of Digital Hologram", Journal of Systems Architecture, Vol. 16. pp. 54-63, Jan. 2011.
  6. Y.-H. Lee, Y.-H. Seo, J.-S. Yoo, and D.-W. Kim, "Hardware architecture of high-performance digital hologram generator on the basis of a pixel-by-pixel calculation scheme", Applied Optices, Vol. 51. pp. 4003-4012, June. 2012. https://doi.org/10.1364/AO.51.004003
  7. N. Masuda, T. Ito, T. Tanaka, A. Shiraki, and T. Sugie, "Computer generated holography using a graphics processing unit," Optics Express, Vol. 14, No. 2, January 2006.
  8. L. Ahrenberg, P. Benzie, M. Magnor, and J. Watson, "Computer generated holography using parallel commodity graphics hardware," Optics Express, Vol. 14, No. 17, August 2006.
  9. Y. Pan, X. Xu, S. Solanki, X. Liang, R. Bin, A. Tanjung, C. Tan, and T.-C. Chong, "Fast CGH computation using S-LUT on GPU", Optics Express, vol. 17, No. 21, pp. 18543-18555, Oct. 2009. https://doi.org/10.1364/OE.17.018543
  10. Y.-Z. Liu, J.-W. Dong, Y.-Y. Pu, B.-C. Chen, H.-X. He, and H.-Z. Wang, "High-speed full analytical holographic computations for true-life scenes", Optics Express, vol. 18, no. 4, pp. 3345-3351, Feb. 2010. https://doi.org/10.1364/OE.18.003345
  11. T. Shimobaba, T. Ito, N, Masuda, Y, Ichihashi, and N. Takada, "Fast calculation of computer-generated-hologram on AMD HD5000 series GPU and OpenCL", Optics Express, vol. 18, no. 10, pp. 9955-9960, May. 2010. https://doi.org/10.1364/OE.18.009955
  12. Yoon-Hyuk Lee, Dong-Wook Kim, Young-Ho Seo, "High-Speed Generation Technique of Digital holographic Contents based on GPGPU", Journal of the Korea Society of Digital Industry and Information Management, Vol. 9, No. 1, pp.151-163, 2013.
  13. J.S. Song, J.S. Park, Y.H. Seo, J.I. Park "Fast Generation of Digital Hologram Based on Multi-GPU", Journal of Korean Society of Broadcast Engineers, Vol. 16, no. 6, pp.1009-1017, Nov. 2011. https://doi.org/10.5909/JEB.2011.16.6.1009
  14. Young-Ho Seo, Yoon-Hyuk Lee, Ja-Myong Goo, Yu-Yeul Kim, Bo-Ra Kim, and Dong-Wook Kim, "A New System Implementation for Generating Holographic Video using Natural Color Scene", The Korean Society of Broadcast Engineers, Journal of Broadcast Engineering, v.18, n.2, pp.149-158, 2013. https://doi.org/10.5909/JBE.2013.18.2.149
  15. Kirk, David, "Programming Massively Parallel Processor 1'st Edition", Elsevier, 2010.

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