Lawrence Berkeley National Laboratory
Dynamic Nested Tracking Graphs.
- Author(s): Lukasczyk, Jonas
- Garth, Christoph
- Weber, Gunther H
- Biedert, Tim
- Maciejewski, Ross
- Leitte, Heike
- et al.
Published Web Locationhttps://doi.org/10.1109/tvcg.2019.2934368
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.