Biedert, TimGarth, ChristophC. Dachsbacher and P. Navrátil2015-05-242015-05-242015http://dx.doi.org/10.2312/pgv.20151158High-fidelity simulation models on large-scale parallel computer systems can produce data at high computational throughput, but modern architectural trade-offs make full persistent storage to the slow I/O subsystem prohibitively costly with respect to time. We demonstrate the feasibility and potential of combining in situ topological contour tree analysis and compact image-based data representation to address this problem. Our experiments show significant reductions in storage requirements using topology-guided layered depth imaging, while preserving flexibility for explorative visualization and analysis. Our approach represents an effective and easy-to-control trade-off between storage overhead and visualization fidelity for large data visualization.I.3.6 [Computer Graphics]Methodology and TechniquesGraphics data structures and data typesContour Tree Depth Images For Large Data Visualization10.2312/pgv.2015115877-86