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首页> 外文期刊>PASJ: Publications of the Astronomical Society of Japan >High-performance parallel image reconstruction for the New Vacuum Solar Telescope
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High-performance parallel image reconstruction for the New Vacuum Solar Telescope

机译：新型真空太阳望远镜的高性能并行图像重建

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摘要

Many technologies have been developed to help improve spatial resolution of observational images for ground-based solar telescopes, such as adaptive optics (AO) systems and post-processing reconstruction. As any AO system correction is only partial, it is indispensable to use post-processing reconstruction techniques. In the New Vacuum Solar Telescope (NVST), a speckle-masking method is used to achieve the diffraction-limited resolution of the telescope. Although the method is very promising, the computation is quite intensive, and the amount of data is tremendous, requiring several months to reconstruct observational data of one day on a high-end computer. To accelerate image reconstruction, we parallelize the program package on a high-performance cluster. We describe parallel implementation details for several reconstruction procedures. The code is written in the C language using the Message Passing Interface (MPI) and is optimized for parallel processing in a multiprocessor environment. We show the excellent performance of parallel implementation, and the whole data processing speed is about 71 times faster than before. Finally, we analyze the scalability of the code to find possible bottlenecks, and propose several ways to further improve the parallel performance. We conclude that the presented program is capable of executing reconstruction applications in real-time at NVST.
机译：已经开发了许多技术来帮助提高地面太阳望远镜的观测图像的空间分辨率，例如自适应光学（AO）系统和后处理重建。由于任何AO系统校正仅是部分的，因此使用后处理重建技术是必不可少的。在新型真空太阳望远镜（NVST）中，使用斑点屏蔽方法来实现望远镜的衍射极限分辨率。尽管该方法非常有前途，但计算量很大，并且数据量巨大，需要几个月才能在高端计算机上重建一天的观测数据。为了加速图像重建，我们在高性能群集上并行化程序包。我们描述了几种重建程序的并行实现细节。该代码使用消息传递接口（MPI）以C语言编写，并且针对多处理器环境中的并行处理进行了优化。我们展示了并行实现的出色性能，并且整个数据处理速度比以前快71倍。最后，我们分析代码的可伸缩性以发现可能的瓶颈，并提出几种方法来进一步提高并行性能。我们得出结论，所提出的程序能够在NVST上实时执行重建应用程序。

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