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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:
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.
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页数:18
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