Using the Data Capacitor for Remote Data Collection, Analysis, and Visualization

Loading...
Thumbnail Image
Can’t use the file because of accessibility barriers? Contact us with the title of the item, permanent link, and specifics of your accommodation need.

Date

2007-11-13

Journal Title

Journal ISSN

Volume Title

Publisher

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.

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.

Keywords

Citation

Journal

DOI

Relation

Rights

Type

Presentation

Collections