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DESCRIPTION:Speaker: Dr. Jeremy Kepner, MIT Lincoln Laboratory Fellow/MIT Lincoln Laboratory Supercomputing Center Founder
Talk Title: The Convergence of Machine Learning, Big Data, and Supercomputing
Abstract: Machine learning, big data and simulation challenges have led to a proliferation of computing hardware and software solutions. Hyperscale data centers, accelerators and programmable logic can deliver enormous performance via a range of analytic environments and data-storage technologies. Effectively exploiting these capabilities for science and engineering requires mathematically rigorous interfaces that allow scientists and engineers to focus on their research and avoid rewriting software each time computing technology changes. Mathematically rigorous interfaces are at the core of the MIT Lincoln Laboratory Supercomputing Center and let it deliver leading-edge technologies to thousands of scientists and engineers. This talk discusses the rapidly evolving computing landscape and how mathematically rigorous interfaces are key to exploiting advanced computing capabilities.
Biography: Dr. Jeremy Kepner is a MIT Lincoln Laboratory Fellow. He founded the Lincoln Laboratory Supercomputing Center and pioneered the establishment of the Massachusetts Green High Performance Computing Center. He has developed novel big data and parallel computing software used by thousands of scientists and engineers worldwide. He has led several embedded computing efforts, which earned him a 2011 R&D 100 Award. Dr. Kepner has chaired SIAM Data Mining, IEEE Big Data, and the IEEE HPEC conference. Dr. Kepner is the author of two bestselling books on Parallel MATLAB and Graph Algorithms. His peer-reviewed publications include works on abstract algebra, astronomy, astrophysics, cloud computing, cybersecurity, data mining, databases, graph algorithms, health sciences, plasma physics, signal processing, and 3D visualization. In 2014, he received Lincoln Laboratory's Technical Excellence Award. Dr. Kepner holds a B.A. in astrophysics from Pomona College and a Ph.D. in astrophysics from Princeton University.
Host: Dr. Viktor K. Prasanna
SEQUENCE:5
DTSTART:20170829T103000
LOCATION:EEB 248
DTSTAMP:20170829T103000
SUMMARY:The Convergence of Machine Learning, Big Data, and Supercomputing
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DTEND:20170829T233000
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