A GPU-accelerated image reduction pipeline. (6th October 2020)

• Record Type: Journal Article
• Authors: Niwano, Masafumi; Murata, Katsuhiro L; Adachi, Ryo; Wang, Sili; Tachibana, Yutaro; Yatsu, Yoichi; Kawai, Nobuyuki; Shimokawabe, Takashi; Itoh, Ryosuke
• Is Part Of: Publications of the Astronomical Society of Japan. Volume 73:Number 1(2021)
• Page Start: 14
• Page End: 24
• Publication Date: 2020-10-06
• Subjects: gamma-ray burst: general -- gravitational waves -- techniques: image processing; Astronomy -- Periodicals; 520.5
• DOI: 10.1093/pasj/psaa091
• Languages: English
• ISSNs: 0004-6264

Abstract

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.