光子科学中的Bragg-Spot定位

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI:10.1109/HPCSim.2015.7237101

Daniel Becker, A. Streit

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引用次数: 0

摘要

下一代光子科学实验将能够每秒产生数千张图像。然而，它们中的许多对于进一步的分析是没有用的。由于数据量如此之大，将所有数据离线存储以供以后分析是不可行的。相反，这种分析必须尽可能地靠近数据源。此外，由于数据量大、速度快，这种分析必须高度并行地进行。在本文中，我们概述了我们以前在光子科学数据分析算法以及潜在相关的BM3D算法方面的工作。讨论了这些算法，重点讨论了它们的并行处理能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Real-time signal identification in big data streams Bragg-Spot localization in photon science

The next generation of photon science experiments will be able to produce thousands of images per second. However, many of them will not be useful for further analysis. Due to this large amount of data, it is not feasible to store all data offline for later analysis. Instead, this analysis has to be shifted as close to the data sources as possible. In addition, due to the large volume and velocity of the data, this analysis has to be done highly parallel. In this article we recapitulate our previous work on algorithms on data analysis in photon science as well as the potentially relevant BM3D algorithm. These algorithms are discussed with a focus on their parallel processing capabilities.

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2015 International Conference on High Performance Computing & Simulation (HPCS)

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