A GPU-accelerated image reduction pipeline

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-sp...

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Published in:Publications of the Astronomical Society of Japan 2021-02, Vol.73 (1), p.14-24
Main Authors: Niwano, Masafumi, Murata, Katsuhiro L, Adachi, Ryo, Wang, Sili, Tachibana, Yutaro, Yatsu, Yoichi, Kawai, Nobuyuki, Shimokawabe, Takashi, Itoh, Ryosuke
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cited_by cdi_FETCH-LOGICAL-c383t-c9d406db9a94d8656def2792c032192b543b1aa83b1713f1d5e2a4a3e632e2f13
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creator Niwano, Masafumi
Murata, Katsuhiro L
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Shimokawabe, Takashi
Itoh, Ryosuke
description 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.
doi_str_mv 10.1093/pasj/psaa091
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title A GPU-accelerated image reduction pipeline
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