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DOE's SciDAC Visualization and Analytics Center for Enabling Technologies -- Strategy for
Petascale Visual Data Analysis Success
- Bethel, E. Wes;
- Johnson, Chris;
- Aragon, Cecilia;
- Prabhat, ???;
- Rubel, Oliver;
- Weber, Gunther;
- Pascucci, Valerio;
- Childs, Hank;
- Bremer, Peer-Timo;
- Whitlock, Brad;
- Ahern, Sean;
- Meredith, Jeremey;
- Ostrouchov, George;
- Joy, Ken;
- Hamann, Bernd;
- Garth, Christoph;
- Cole, Martin;
- Hansen, Charles;
- Parker, Steven;
- Sanderson, Allen;
- Silva, Claudio;
- Tricoche, Xavier
- et al.
Abstract
The focus of this article is on how one group of researchers the DOE SciDAC Visualization and Analytics Center for Enabling Technologies (VACET) is tackling the daunting task of enabling knowledge discovery through visualization and analytics on some of the world s largest and most complex datasets and on some of the world's largest computational platforms. As a Center for Enabling Technology, VACET s mission is the creation of usable, production-quality visualization and knowledge discovery software infrastructure that runs on large, parallel computer systems at DOE's Open Computing facilities and that provides solutions to challenging visual data exploration and knowledge discovery needs of modern science, particularly the DOE science community.
Main Content
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