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Title
Japanese: 
English:A GPU-accelerated image reduction pipeline 
Author
Japanese: 庭野 聖史, 村田 勝寛, 安達 稜, WANG Sili, 橘 優太朗, 谷津 陽一, 河合 誠之, 下川辺 隆史, 伊藤 亮介.  
English: Masafumi Niwano, Katsuhiro L. Murata, Ryo Adachi, Sili Wang, Yutaro Tachibana, Yoichi Yatsu, Nobuyuki Kawai, Takashi Shimokawabe, Ryosuke Itoh.  
Language English 
Journal/Book name
Japanese: 
English:Publications of the Astronomical Society of Japan 
Volume, Number, Page Volume 73    Issue 1    pp. 14-24
Published date Oct. 6, 2020 
Publisher
Japanese: 
English:Oxford University Press 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL https://academic.oup.com/pasj/article/73/1/14/5918309
 
DOI https://doi.org/10.1093/pasj/psaa091
Abstract We developed a high-speed image reduction pipeline using Graphics Processing Units (GPUs) as hardware accelerators. Astronomers desire to detect the emission measure counterpart of gravitational-wave sources as soon as possible and to share in the systematic follow-up observation. Therefore, high-speed image processing is important. We developed a new image-reduction pipeline for our robotic telescope system, which uses a GPU via the Python package CuPy for high-speed image processing. As a result, the new pipeline has increased in processing speed by more than 40 times compared with the current one, while maintaining the same functions.

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