An Interactive Visualization System for Large Sets of Phase Space Trajectories

We introduce a visual analysis system with GPU acceleration techniques for large sets of trajectories from complex dynamical systems. The approach is based on an interactive Boolean combination of subsets into a Focus+Context phase‐space visualization. We achieve high performance through efficient b...

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Bibliographic Details
Published in:Computer graphics forum 2019-06, Vol.38 (3), p.297-309
Main Authors: Neuroth, T.A., Sauer, F., Ma, K.L.
Format: Article
Language:English
Subjects:
Acceleration
Algorithms
Boolean algebra
CCS Concepts
Computer Science
Computer simulation
Human‐centered computing → Scientific visualization
Interactive systems
Multivariate analysis
Shaders
Trajectories
Visualization
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Summary:We introduce a visual analysis system with GPU acceleration techniques for large sets of trajectories from complex dynamical systems. The approach is based on an interactive Boolean combination of subsets into a Focus+Context phase‐space visualization. We achieve high performance through efficient bitwise algorithms utilizing runtime generated GPU shaders and kernels. This enables a higher level of interactivity for visualizing the large multivariate trajectory data. We explain how our design meets a set of carefully considered analysis requirements, provide performance results, and demonstrate utility through case studies with many‐particle simulation data from two application areas.
ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.13690