GPU-accelerated Image Reduction Pipeline
Abstract
We developed a high-speed image reduction pipeline using Graphics Processing Units (GPUs) as hardware accelerators. Astronomers desire detecting EM counterpart of gravitational-wave sources as soon as possible for sharing positional information to organize systematic follow-up observations. Therefore, high-speed image processing is important. We developed a new image reduction pipeline for our robotic telescope system, which uses a GPU via a Python package CuPy to achieve high-speed image processing. As a result, the processing speed was increased by more than a factor of forty to that of the current pipeline, while maintaining the same functions.
Keywords
Cite
@article{arxiv.2008.11486,
title = {GPU-accelerated Image Reduction Pipeline},
author = {Masafumi Niwano and Katsuhiro L. Murata and Ryo Adachi and Sili Wang and Yutaro Tachibana and Youichi Yatsu and Nobuyuki Kawai and Takashi Shimokawabe and Ryousuke Itoh},
journal= {arXiv preprint arXiv:2008.11486},
year = {2020}
}
Comments
24 pages, 18 figures, 6 tables, accepted for publication in PASJ, code available at this http URL https://github.com/MNiwano/Eclaire