Show simple item record Simms, Stephen C. en Davy, Matthew en Hammond, Bret en Link, Matthew R. en Stewart, Craig A. en Teige, Scott en Baik, Mu-Hyun en Mantri, Yogita en Lord, Richard en McMullen, D.F. (Rick) en Huffman, John C. en Huffman, Kia en Juckeland, Guido en Kluge, Michael en Henschel, Robert en Brunst, Holger en Knuepfer, Andreas en Mueller, Matthias en Mukund, P.R. en Elble, Andrew en Pasupuleti, Ajay en Bohn, Richard en Das, Sripriya en Stefano, James en Pike, Gregory G. en Balog, Douglas A. en 2011-12-19T20:14:50Z en 2011-12-19T20:14:50Z en 11/13/2007 en
dc.description Presentation given as Bandwidth Challenge Finalist at SC07. This team led by Indiana University, with partners from the Technische Universitaet Dresden, Rochester Institute of Technology, Oak Ridge National Laboratory and the Pittsburgh Supercomputing Center, was awarded first place in an international competition for leading-edge, high-bandwidth computing applications. en
dc.description.abstract Indiana University provides powerful compute, storage, and network resources to a diverse local and national research community. In the past year, through the use of Lustre across the wide area network, IU has been able to extend the reach of its advanced cyberinfrastructure across the nation and across the ocean to Technische Universitaet Dresden. For this year's bandwidth challenge, a handful of researchers from IU, Rochester Institute of Technology, and the Technische Universitaet Dresden will run a set of data-intensive applications crossing a range of disciplines from the digital humanities to computational chemistry. Using IU's 535 TB Data Capacitor and an additional component installed on the exhibit floor, we will mount Lustre across the wide area network to demonstrate data collection, analysis, and visualization across distance. en
dc.language.iso en_US en
dc.relation.isversionof en
dc.title Using the Data Capacitor for Remote Data Collection, Analysis, and Visualization en
dc.type Presentation en
dc.altmetrics.display true en

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