| 1. |
- Parkinson, Dilworth Y., et al.
(författare)
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Real-Time Data-Intensive Computing
- 2016
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Ingår i: Proceedings Of The 12Th International Conference On Synchrotron Radiation Instrumentation (SRI2015). - : Author(s). - 9780735413986
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Konferensbidrag (refereegranskat)abstract
- Today users visit synchrotrons as sources of understanding and discovery-not as sources of just light, and not as sources of data. To achieve this, the synchrotron facilities frequently provide not just light but often the entire end station and increasingly, advanced computational facilities that can reduce terabytes of data into a form that can reveal a new key insight. The Advanced Light Source (ALS) has partnered with high performance computing, fast networking, and applied mathematics groups to create a "super-facility", giving users simultaneous access to the experimental, computational, and algorithmic resources to make this possible. This combination forms an efficient closed loop, where data-despite its high rate and volume-is transferred and processed immediately and automatically on appropriate computing resources, and results are extracted, visualized, and presented to users or to the experimental control system, both to provide immediate insight and to guide decisions about subsequent experiments during beamtime. We will describe our work at the ALS ptychography, scattering, micro-diffraction, and micro-tomography beamlines.
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| 2. |
- Daurer, Benedikt J., et al.
(författare)
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Nanosurveyor : a framework for real-time data processing
- 2017
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Ingår i: Advanced Structural and Chemical Imaging. - : Springer Science and Business Media LLC. - 2198-0926. ; 3:7
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Tidskriftsartikel (refereegranskat)abstract
- Background: The ever improving brightness of accelerator based sources is enabling novel observations and discov-eries with faster frame rates, larger fields of view, higher resolution, and higher dimensionality.Results: Here we present an integrated software/algorithmic framework designed to capitalize on high-throughput experiments through efficient kernels, load-balanced workflows, which are scalable in design. We describe the streamlined processing pipeline of ptychography data analysis.Conclusions: The pipeline provides throughput, compression, and resolution as well as rapid feedback to the micro-scope operators
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| 3. |
- Marchesini, Stefano, et al.
(författare)
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SHARP : a distributed GPU-based ptychographic solver
- 2016
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Ingår i: Journal of applied crystallography. - 0021-8898 .- 1600-5767. ; 49, s. 1245-1252
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Tidskriftsartikel (refereegranskat)abstract
- 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. This article describes a set of algorithmic and computational methodologies used at the Advanced Light Source and US Department of Energy light sources. These are 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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