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Synchrotrons and Supercomputers

Jeudi 21 avril 2016 14:00 - Duree : 1 heure
Lieu : MD-1-21, ESRF, 71 avenue des Martyrs, 38000 Grenoble

Orateur : Alexander HEXEMER & Dula PARKINSON (Advanced Light Source, Lawrence Berkeley National Laboratory), Craig TULL & David BROWN (Computational Research Division, Lawrence Berkeley National Laboratory)

For decades, most synchrotron beamlines operated with a grab-and-go data management model : users ran experiments, downloaded data to an external hard drive, and processed or analyzed it later. Brighter light sources and faster detectors at many beamlines have made that model impossible. Over the past five years, the Advanced Light Source has participated in two transformative projects to create solutions to this problem : 1) The Center for Advanced Mathematics for Energy Research Applications (CAMERA) and 2) a pilot project called SPOT Suite. The goal of CAMERA is to build state-of-the-art algorithms to interpret experimental data (http://www.camera.lbl.gov/). These include methods to perform advanced reconstructions from scattering data, real-time analysis as experiments unfold, machine learning and statistical methods to automatically extract key features from image data, scattering analysis and machine learning. CAMERA has assembled coordinated teams of ALS scientists, LBNL and UC Berkeley applied mathematicians and computer scientists, as well as materials scientists and computational chemists. Working together, their goal is to build the fundamental computational methods that are needed to extract information from data, and provide on-demand analysis as information is being generated. "SPOT Suite" takes algorithms from CAMERA and other sources, and provides data transfer and management tools, software infrastructure and automated workflows, and graphical interfaces that allow users to easily take advantage of high performance computing resources and to remotely visualize and interact with their data. Our work with SPOT Suite has proven that it is possible to analyze in situ experimental data at a high performance computing facility thousands of miles away and provide feedback fast enough to guide experiments during beamtime ; and it has shown that it is possible for multiple BES facilities to share computing resources and algorithms located at one high performance computing facility. We will describe our efforts in these areas as well as some of our lessons learned. We will discuss our view of how partnerships between synchrotrons, applied math and computer science groups, and high performance computing centers can produce greater science output with higher impact.

Contact : ferrero@esrf.fr

Discipline évènement : (Physique)
Entité organisatrice : (ESRF)
Nature évènement : (Séminaire)
Evènement répétitif : (SciSoft coffee meeting)
Site de l'évènement : Polygone scientifique

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