• Chinese Optics Letters
  • Vol. 18, Issue 2, 020902 (2020)
Hiromi Sannomiya1, Naoki Takada2、*, Tomoya Sakaguchi1, Hirotaka Nakayama3, Minoru Oikawa2, Yuichiro Mori2, Takashi Kakue4, Tomoyoshi Shimobaba4, and Tomoyoshi Ito4
Author Affiliations
  • 1Graduate School of Integrated Arts and Sciences, Kochi University, Kochi, Kochi 780-8520, Japan
  • 2Research and Education Faculty, Kochi University, Kochi, Kochi 780-8520, Japan
  • 3National Astronomical Observatory of Japan, Mitaka, Tokyo 181-8588, Japan
  • 4Graduate School of Engineering, Chiba University, Chiba, Chiba 263-8522, Japan
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    Systems containing multiple graphics-processing-unit (GPU) clusters are difficult to use for real-time electroholography when using only a single spatial light modulator because the transfer of the computer-generated hologram data between the GPUs is bottlenecked. To overcome this bottleneck, we propose a rapid GPU packing scheme that significantly reduces the volume of the required data transfer. The proposed method uses a multi-GPU cluster system connected with a cost-effective gigabit Ethernet network. In tests, we achieved real-time electroholography of a three-dimensional (3D) video presenting a point-cloud 3D object made up of approximately 200,000 points.

    Holography[1] allows the recording and reconstruction of a three-dimensional (3D) object. The use of real-time electroholography employing computer-generated holograms (CGHs) is anticipated to have applications in future commercial 3D TV devices[2,3]. However, the computational complexity of the CGH calculations frequently prevents the practical implementation of real-time electroholography.

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    Hiromi Sannomiya, Naoki Takada, Tomoya Sakaguchi, Hirotaka Nakayama, Minoru Oikawa, Yuichiro Mori, Takashi Kakue, Tomoyoshi Shimobaba, Tomoyoshi Ito. Real-time electroholography using a single spatial light modulator and a cluster of graphics-processing units connected by a gigabit Ethernet network[J]. Chinese Optics Letters, 2020, 18(2): 020902
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    Category: Holography
    Received: Sep. 29, 2019
    Accepted: Nov. 1, 2019
    Posted: Nov. 2, 2019
    Published Online: Jan. 7, 2020
    The Author Email: Naoki Takada (ntakada@is.kochi-u.ac.jp)