SHARP：基于GPU的分布式重叠关联求解器
SHARP: a distributed, GPU-based ptychographic solver
摘要：
越来越亮的光源、快速并行检测器以及相位恢复方法的进步使重叠关联成像成为一种实用且流行的成像技术。与以前的技术相比，重叠关联分析以更先进和耗时的数据分析为代价提供了更好的鲁棒性和分辨率。通过利用大规模并行架构，高通量处理可以加快这种分析，并为显微镜提供即时反馈。这些进步允许在波长有限的分辨率下实时成像，再加上大视场。在这里，我们介绍了一套算法和计算方法，用于先进的光源，DOE光源封装为一个基于CUDA的软件环境命名为SHARP（http：//camera.lbl.gov/sharp），旨在提供国家的最先进的高通量重叠关联重建衍射限制光源的时代即将到来。
英文摘要：
Ever brighter light sources, fast parallel detectors, and advances in phase retrieval methods, have made ptychography a practical and popular imaging technique. Compared to previous techniques, ptychography provides superior robustness and resolution at the expense of more advanced and time consuming data analysis. By taking advantage of massively parallel architectures, high-throughput processing can expedite this analysis and provide microscopists with immediate feedback. These advances allow real-time imaging at wavelength limited resolution, coupled with a large field of view. Here, we introduce a set of algorithmic and computational methodologies used at the Advanced Light Source, and DOE light sources packaged as a CUDA based software environment named SHARP (http://camera.lbl.gov/sharp), aimed at providing state-of-the-art high-throughput ptychography reconstructions for the coming era of diffraction limited light sources.
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