A GPU-accelerated image reduction pipeline
A GPU-accelerated image reduction pipeline
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DOI：
10.1093/pasj/psaa091
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发表时间：
2020-08
影响因子：
2.3
通讯作者：
M. Niwano;K. Murata;R. Adachi;Sili Wang;Y. Tachibana;Youichi Yatsu;N. Kawai;T. Shimokawabe;R. Itoh
中科院分区：
文献类型：
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作者：
M. Niwano;K. Murata;R. Adachi;Sili Wang;Y. Tachibana;Youichi Yatsu;N. Kawai;T. Shimokawabe;R. Itoh
我们开发了一个使用图形处理单元（GPU）作为硬件加速器的高速图像缩小流水线。天文学家希望尽快探测到引力波源的发射测量对应物，并参与系统的后续观测。因此，高速图像处理是非常重要的。我们为我们的机器人望远镜系统开发了一个新的图像缩减管道，该管道通过Python包CuPy使用GPU进行高速图像处理。因此，新的流水线在保持相同功能的同时，处理速度比现有流水线提高了40倍以上。
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.