Holography is a method of recording and reproducing three-dimensional (3D) images, and the widespread availability of computers has encouraged the development of holographic 3D screens (electroholography). However, the technology has not yet been used in practical applications because a hologram requires an enormous volume of data and modern computing power is inadequate to process this volume of data in real time. Here, we show that a special-purpose holography computing board, which uses eight large-scale field-programmable gate arrays, can be used to generate 108-pixel holograms that can be updated at a video frame rate. With our approach, we achieve a parallel operation of 4,480 hologram calculation circuits on a single board, and by clustering eight of these boards, we can increase the number of parallel calculations to 35,840. Using a 3D image composed of 7,877 points, we show that 108-pixel holograms can be updated at a video rate, thus allowing 3D movies to be projected. We also demonstrate that the system speed scales up in a linear manner as the number of parallel circuits is increased. The system operates at 0.25 GHz with an effective speed equivalent to 0.5 petaflops (1015 floating-point operations per second), matching that of a high-performance computer.
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This work was supported by the Japan Society for the Promotion of Science (Grant-in-Aid No. 25240015).
The authors declare no competing interests.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Real-time optical reconstruction of electroholography from the eight-board HORN-8 cluster system. The image was reconstructed from a 2-million-pixel hologram with 6.5-μm pixel pitch.
Simulation of a wide field-of-view electroholography from the eight-board HORN-8 cluster system. The image was computationally reconstructed from a 100-million-pixel hologram with 1-μm pixel pitch. The viewing angle of the hologram is approximately 30°.
Large-scale electroholographic image obtained using the eight-board HORN-8 cluster system. A 100-million-pixel hologram was generated from a 10-million-point object and reconstructed via simulation. The object data were divided into 160 blocks, and a separate hologram was prepared for each. These were then reconstructed by the time-division method to obtain a single still image.
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Sugie, T., Akamatsu, T., Nishitsuji, T. et al. High-performance parallel computing for next-generation holographic imaging. Nat Electron 1, 254–259 (2018). https://doi.org/10.1038/s41928-018-0057-5
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