High-Performance Ptychographic Reconstruction with Federated Facilities

@inproceedings{Bicer2021HighPerformancePR,
  title={High-Performance Ptychographic Reconstruction with Federated Facilities},
  author={Tekin Bicer and Xiaodong Yu and Daniel J. Ching and Ryan Chard and Mathew J. Cherukara and Bogdan Nicolae and Rajkumar Kettimuthu and Ian T. Foster},
  booktitle={SMC},
  year={2021}
}
Beamlines at synchrotron light source facilities are powerful scientific instruments used to image samples and observe phenomena at high spatial and temporal resolutions. Typically, these facilities are equipped only with modest compute resources for the analysis of generated experimental datasets. However, high data rate experiments can easily generate data in volumes that take days (or even weeks) to process on those local resources. To address this challenge, we present a system that unifies… 
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences
TLDR
Common patterns associated with online analysis methods are reviewed and methods for instantiating those patterns are described, which present experiences with the application of these methods to the processing of data from different scientific instruments, each of which engages HPC resources for data inversion, machine learning model training, or other purposes.

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