A GPU-accelerated image reduction pipeline

• DOI: 10.1093/pasj/psaa091
• Publication Date: 2020-09-13T11:07:13Z
• Authors: Masafumi Niwano; Katsuhiro L Murata; Ryo Adachi; Sili Wang; Yutaro Tachibana; Yoichi Yatsu; Nobuyuki Kawai; Takashi Shimokawabe; Ryosuke Itoh
• Keywords: Python; Speedup

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 soon possible and share in systematic follow-up observation. Therefore, processing is important. new image-reduction for our robotic telescope system, which uses GPU via Python package CuPy processing. As result, has increased speed by more than 40 times compared with current one, while maintaining same functions.