Issue No. 10 - Oct. (2017 vol. 23)
Franz Sauer , Department of Computer Science, University of California at Davis, Davis, CA
Jinrong Xie , Department of Computer Science, University of California at Davis, Davis, CA
Kwan-Liu Ma , Department of Computer Science, University of California at Davis, Davis, CA
The Eulerian and Lagrangian reference frames each provide a unique perspective when studying and visualizing results from scientific systems. As a result, many large-scale simulations produce data in both formats, and analysis tasks that simultaneously utilize information from both representations are becoming increasingly popular. However, due to their fundamentally different nature, drawing correlations between these data formats is a computationally difficult task, especially in a large-scale setting. In this work, we present a new data representation which combines both reference frames into a joint Eulerian-Lagrangian format. By reorganizing Lagrangian information according to the Eulerian simulation grid into a “unit cell” based approach, we can provide an efficient out-of-core means of sampling, querying, and operating with both representations simultaneously. We also extend this design to generate multi-resolution subsets of the full data to suit the viewer’s needs and provide a fast flow-aware trajectory construction scheme. We demonstrate the effectiveness of our method using three large-scale real world scientific datasets and provide insight into the types of performance gains that can be achieved.
Data models, Computational modeling, Data visualization, Analytical models, Correlation, Octrees
F. Sauer, J. Xie and K. Ma, "A Combined Eulerian-Lagrangian Data Representation for Large-Scale Applications," in IEEE Transactions on Visualization & Computer Graphics, vol. 23, no. 10, pp. 2248-2261, 2017.