An interactive visualization system for large sets of phase space trajectories

T. A. Neuroth, F. Sauer, Kwan-Liu Ma

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)297-309
Number of pages13
JournalComputer Graphics Forum
Issue number3
StatePublished - Jan 1 2019


  • Human-centered computing → Scientific visualization

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design


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