arXiv · 2008.11486
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.
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Masafumi Niwano, Katsuhiro L. Murata, Ryo Adachi, Sili Wang, Yutaro Tachibana, Youichi Yatsu, Nobuyuki Kawai, Takashi Shimokawabe, Ryousuke Itoh. 2020-08-26. GPU-accelerated Image Reduction Pipeline. https://doi.org/10.1093/pasj%2Fpsaa091
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