@inproceedings{eb4b6ca52dc54b4db974bed38cef30ba,
title = "The optimizations of CGH generation algorithms based on multiple GPUs for 3D dynamic holographic display",
abstract = "Holographic display has been considered as a promising display technology. Currently, low-speed generation of holograms with big holographic data is one of crucial bottlenecks for three dimensional (3D) dynamic holographic display. To solve this problem, the acceleration method computation platform is presented based on look-up table point source method. The computer generated holograms (CGHs) acquisition is sped up by offline file loading and inline calculation optimization, where a pure phase CGH with gigabyte data is encoded to record an object with 10 MB sampling data. Both numerical simulation and optical experiment demonstrate that the CGHs with 1920×1080 resolution by the proposed method can be applied to the 3D objects reconstruction with high quality successfully. It is believed that the CGHs with huge data can be generated by the proposed method with high speed for 3D dynamic holographic display in near future.",
keywords = "Dynamic holographic display, big-data hologram, high performance computation.",
author = "Dan Yang and Juan Liu and Yingxi Zhang and Xin Li and Yongtian Wang",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; International Symposium on Advanced Laser Manufacturing Technology 2016 ; Conference date: 09-05-2016 Through 11-05-2016",
year = "2016",
doi = "10.1117/12.2246755",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Bingheng Lu and Huaming Wang",
booktitle = "Advanced Laser Manufacturing Technology",
address = "United States",
}