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A GPU-accelerated image reduction pipeline

机译:GPU加速图像还原管道

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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.
机译:我们使用图形处理单元(GPU)作为硬件加速器,开发了一种高速图像压缩流水线。天文学家希望尽快探测到与引力波源相对应的辐射测量,并参与系统的后续观测。因此,高速图像处理非常重要。我们为我们的机器人望远镜系统开发了一个新的图像压缩管道,该系统通过Python软件包CuPy使用GPU进行高速图像处理。因此,新管道的处理速度比当前管道提高了40多倍,同时保持了相同的功能。

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