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Open Access Publications from the University of California

Dynamic Nested Tracking Graphs.

  • Author(s): Lukasczyk, Jonas;
  • Garth, Christoph;
  • Weber, Gunther H;
  • Biedert, Tim;
  • Maciejewski, Ross;
  • Leitte, Heike
  • et al.
Abstract

This work describes an approach for the interactive visual analysis of large-scale simulations, where numerous superlevel set components and their evolution are of primary interest. The approach first derives, at simulation runtime, a specialized Cinema database that consists of images of component groups, and topological abstractions. This database is processed by a novel graph operation-based nested tracking graph algorithm (GO-NTG) that dynamically computes NTGs for component groups based on size, overlap, persistence, and level thresholds. The resulting NTGs are in turn used in a feature-centered visual analytics framework to query specific database elements and update feature parameters, facilitating flexible post hoc analysis.

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