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.
Real-time data-intensive computing
Dilworth Y. Parkinson, Keith Beattie, Xian Chen, Joaquin Correa, Eli Dart, Benedikt J. Daurer, Jack R. Deslippe, Alexander Hexemer, Harinarayan Krishnan, Alastair A. MacDowell, Filipe R. N. C. Maia, Stefano Marchesini, Howard A. Padmore, Simon J. Patton, Talita Perciano, James A. Sethian, David Shapiro, Rune Stromsness, Nobumichi Tamura, Brian L. Tierney, Craig E. Tull, Daniela Ushizima; Real-time data-intensive computing. AIP Conf. Proc. 27 July 2016; 1741 (1): 050001. https://doi.org/10.1063/1.4952921
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