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Séminaire par Jack Dongarra
Séminaire par Jack Dongarra Séminaire par Jack Dongarra
04 décembre 2012

On the Future of High Performance Computing: How to Think for Peta and Exascale Computing.
LRI, 4 décembre 2012 - 15h
On the Future of High Performance Computing: How to Think for Peta and Exascale Computing

Jack Dongarra

University of Tennessee

Oak Ridge National Laboratory

University of Manchester

LRI, Bâtiment 650 de l'Université Paris-Sud (Campus d'Orsay, plateau du Moulon), salle des thèses (salle 435). Accès:
Abstract: In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile--time and run--time techniques, but the increased scale of computation, depth of memory hierarchies, range of latencies, and increased run--time environment variability will make these problems much harder.

Jack Dongarra holds an appointment at the University of Tennessee, Oak Ridge National Laboratory, and the University of Manchester. He specializes in numerical algorithms in linear algebra, parallel computing, use of advanced-computer architectures, programming methodology, and tools for parallel computers. He was awarded the IEEE Sid Fernbach Award in 2004 for his contributions in the application of high performance computers using innovative approaches; in 2008 he was the recipient of the first IEEE Medal of Excellence in Scalable Computing; in 2010 he was the first recipient of the SIAM Special Interest Group on Supercomputing's award for Career Achievement; and in 2011 he was the recipient of the IEEE IPDPS 2011 Charles Babbage Award. He is a Fellow of the AAAS, ACM, IEEE, and SIAM and a member of the National Academy of Engineering. 
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