TEDx Virginia Tech presents

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Wu Feng at TEDxVT 2013: Big compute vs big data

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Wu Feng

Speaker 2013; Professor and Elizabeth & James E. Turner Fellow, Department of Computer Science Adjunct Professor, Department of Electrical & Computer Engineering and the Virginia Bioinformatics Institute Director, Synergy Laboratory

Dr. Wu-chun ('Wu') Feng is the Elizabeth & James E. Turner Fellow and Professor in the Department of Computer Science as well as the director of the Synergy Laboratory (http://synergy.cs.vt.edu/). He also holds adjunct faculty positions with the Department of Electrical & Computer Engineering and the Virginia Bioinformatics Institute at Virginia Tech. Previous professional stints include Los Alamos National Laboratory, The Ohio State University, Purdue University, University of Illinois, IBM T.J. Watson Research Center, and several start-up companies, including Vosaic, CompuGreen, and Abokia. His current research interests encompass parallel computing at all scales (from tiny embedded devices to the large datacenter), across a breadth of domains (from compute-intensive to memory- and storage-intensive), and with applications to science, engineering, arts, health, and everyday contexts. Examples of such projects include 'Computing the Cure for Cancer,' desktop supercomputing with video cards, data-intensive biocomputing in the cloud, big data analytics for the life sciences, mpiBLAST (http://www.mpiblast.org/), Supercomputing in Small Spaces (http://sss.cs.vt.edu/), and The Green500 (http://www.green500.org/). Of particular note and related to all the above projects is HokieSpeed, a GPU-accelerated supercomputer that debuted as the greenest commodity supercomputer in the U.S. on the Green500 in November 2011. Dr. Feng received a B.S. in Electrical & Computer Engineering and in Music (Honors) in 1988 and an M.S. in Computer Engineering from Penn State University in 1990. He earned a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 1996.

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