DocumentCode :
1512547
Title :
Visual Analytics for Finding Critical Structures in Massive Time-Varying Turbulent-Flow Simulations
Author :
Gaither, Kelly P. ; Childs, Hank ; Schulz, Karl W. ; Harrison, Cyrus ; Barth, William ; Donzis, Diego ; Yeung, Pui-Kuen
Author_Institution :
University of Texas at Austin
Volume :
32
Issue :
4
fYear :
2012
Firstpage :
34
Lastpage :
45
Abstract :
Visualization and data analysis are crucial in analyzing and understanding a turbulent-flow simulation of size 4,096³ cells per time slice (68 billion cells) and 17 time slices (one trillion total cells). The visualization techniques used help scientists investigate the dynamics of intense events individually and as these events form clusters.
Keywords :
Analytical models; Computational modeling; Data visualization; Information analysis; Large-scale systems; Three dimensional displays; Visual analytics; Analytical models; Bifurcation; Computational modeling; Data visualization; Grippers; Information analysis; Large-scale systems; Shape; Three dimensional displays; Visual analytics; computer graphics; feature detection; flow visualization; large-data visualization; turbulent flow; visualization applications;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/MCG.2012.63
Filename :
6197166
Link To Document :
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