Occam's razor and petascale visual data analysis

被引:2
作者
Bethel, E. W. [1 ]
Johnson, C. [2 ]
Ahern, S. [3 ]
Bell, J. [1 ]
Bremer, P. -T. [5 ]
Childs, H. [1 ]
Cormier-Michel, E. [1 ]
Day, M. [1 ]
Deines, E. [4 ]
Fogal, T. [2 ]
Garth, C. [4 ]
Geddes, C. G. R. [1 ]
Hagen, H. [7 ]
Hamann, B. [4 ]
Hansen, C. [2 ]
Jacobsen, J. [1 ]
Joy, K.
Krueger, J. [2 ]
Meredith, J. [3 ]
Messmer, P. [6 ]
Ostrouchov, G. [3 ]
Pascucci, V. [2 ]
Potter, K. [2 ]
Prabhat [1 ]
Pugmire, D. [3 ]
Ruebel, O. [1 ]
Sanderson, A. [2 ]
Silva, C. [2 ]
Ushizima, D. [1 ]
Weber, G. [1 ,4 ]
Whitlock, B. [5 ]
Wu, K. [1 ]
机构
[1] Lawrence Berkeley Natl Lab, Berkeley, CA USA
[2] Univ Utah, Salt Lake Cty, UT USA
[3] Oak Ridge Natl Lab, Oak Ridge, TN USA
[4] Univ Calif, Davis, CA USA
[5] Lawrence Livermore Natl Lab, Livermore, CA USA
[6] Tech X Corp, Boulder, CO USA
[7] Tech Univ Kaiserslautern, Kaiserslautern, Germany
来源
SCIDAC 2009: SCIENTIFIC DISCOVERY THROUGH ADVANCED COMPUTING | 2009年 / 180卷
关键词
NUMERICAL-SIMULATION; VISUALIZATION;
D O I
10.1088/1742-6596/180/1/012084
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
One of the central challenges facing visualization research is how to effectively enable knowledge discovery. An effective approach will likely combine application architectures that are capable of running on today's largest platforms to address the challenges posed by large data with visual data analysis techniques that help find, represent, and effectively convey scientifically interesting features and phenomena.
引用
收藏
页数:18
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