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dc.contributor.author Simms, Stephen C. en
dc.contributor.author Davy, Matthew en
dc.contributor.author Hammond, Bret en
dc.contributor.author Link, Matthew R. en
dc.contributor.author Stewart, Craig A. en
dc.contributor.author Teige, Scott en
dc.contributor.author Baik, Mu-Hyun en
dc.contributor.author Mantri, Yogita en
dc.contributor.author Lord, Richard en
dc.contributor.author McMullen, D.F. (Rick) en
dc.contributor.author Huffman, John C. en
dc.contributor.author Huffman, Kia en
dc.contributor.author Juckeland, Guido en
dc.contributor.author Kluge, Michael en
dc.contributor.author Henschel, Robert en
dc.contributor.author Brunst, Holger en
dc.contributor.author Knuepfer, Andreas en
dc.contributor.author Mueller, Matthias en
dc.contributor.author Mukund, P.R. en
dc.contributor.author Elble, Andrew en
dc.contributor.author Pasupuleti, Ajay en
dc.contributor.author Bohn, Richard en
dc.contributor.author Das, Sripriya en
dc.contributor.author Stefano, James en
dc.contributor.author Pike, Gregory G. en
dc.contributor.author Balog, Douglas A. en
dc.date.accessioned 2011-12-19T20:14:50Z en
dc.date.available 2011-12-19T20:14:50Z en
dc.date.issued 11/13/2007 en
dc.identifier.uri http://hdl.handle.net/2022/13991
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 http://sc07.supercomputing.org/schedule/event_detail.php?evid=11464 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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