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A GPU-accelerated image reduction pipeline

Masafumi Niwano, Katsuhiro L. Murata, R. Adachi, Sili Wang, Y. Tachibana, Yoichi Yatsu, N. Kawai, Takashi Shimokawabe, R. Itoh

Year
2024
Citations
3
Access
Open access

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.\n\n

Keywords

Pipeline (software)Python (programming language)PhysicsImage processingSpeedupReduction (mathematics)Computer graphics (images)GraphicsGraphics pipelineCUDA

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