The Community for Technology Leaders
Green Image
Issue No. 04 - July-Aug. (2012 vol. 32)
ISSN: 0272-1716
pp: 34-45
Kelly P. Gaither , University of Texas at Austin
Hank Childs , Lawrence Berkeley National Laboratory
Karl W. Schulz , University of Texas at Austin
Cyrus Harrison , Lawrence Livermore National Laboratory
William Barth , University of Texas at Austin
Diego Donzis , Texas A&M University
Pui-Kuen Yeung , Georgia Tech
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.
INDEX TERMS
Data visualization, Visual analytics, Computational modeling, Analytical models, Information analysis, Large-scale systems, Three dimensional displays,flow visualization, Data visualization, Visual analytics, Computational modeling, Analytical models, Information analysis, Large-scale systems, Three dimensional displays, visualization applications, Data visualization, Shape, Computational modeling, Grippers, Analytical models, Bifurcation, computer graphics, large-data visualization, feature detection, turbulent flow
CITATION
Kelly P. Gaither, Hank Childs, Karl W. Schulz, Cyrus Harrison, William Barth, Diego Donzis, Pui-Kuen Yeung, "Visual Analytics for Finding Critical Structures in Massive Time-Varying Turbulent-Flow Simulations", IEEE Computer Graphics and Applications, vol. 32, no. , pp. 34-45, July-Aug. 2012, doi:10.1109/MCG.2012.63
228 ms
(Ver )