ITLApplied  Computational Mathematics Division
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Management, Analysis, and Visualization of Experimental and Observational Data -- The Convergence of Data and Computing

E. W. Bethel
Lawrence Berkeley National Laboratory

Monday, October 24, 2016 15:00-16:00,
Building 101, Lecture Room B
Monday, October 24, 2016 13:00-14:00,
Room 4058

Abstract: Scientific user facilities -- particle accelerators, telescopes, colliders, supercomputers, light sources, sequencing facilities, and more -- operated by the U.S. Department of Energy (DOE) Office of Science (SC) generate ever increasing volumes of data at unprecedented rates from experiments, observations, and simulations. At the same time there is a growing community of experimentalists that require real-time data analysis feedback, to enable them to steer their complex experimental instruments to optimize scientific outcomes and new discoveries. Recent efforts in DOE-SC have focused on articulating the data-centric challenges and opportunities facing these science communities. Key challenges include difficulties coping with data size, rate, and complexity in the context of both real-time and post-experiment data analysis and interpretation. Solutions will require algorithmic and mathematical advances, as well as hardware and software infrastructures that adequately support data-intensive scientific workloads. This talk presents the summary findings of a workshop held by DOE-SC in September 2015, convened to identify the major challenges and the research that is needed to meet those challenges

Speaker Bio: E. Wes Bethel is a Senior Scientist at Lawrence Berkeley National Laboratory, where he engages in and leads a vibrate research program in high performance visualization and data analysis that aims to facilitate knowledge discovery from large scientific data produced by computer simulations and experiments using some of the world's largest computational platforms. He received his Ph.D. in Computer Science from the University of California Davis, is a Senior Fellow at the Berkeley Institute for Data Science, and is an ACM Distinguished Scientist.

Contact: W. Griffin

Note: Visitors from outside NIST must contact Cathy Graham; (301) 975-3800; at least 24 hours in advance.

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Last updated: 2016-09-26.