Contour Tree Depth Images For Large Data Visualization

Biedert, Tim; Garth, Christoph

Contour Tree Depth Images For Large Data Visualization

Files

077-086.pdf (10.11 MB)

Date

2015

Authors

Biedert, Tim
Garth, Christoph

Publisher

The Eurographics Association

Abstract

High-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.

        @inproceedings{10.2312:pgv.20151158
,
booktitle = {Eurographics Symposium on Parallel Graphics and Visualization
},
editor = {C. Dachsbacher and P. Navrátil
},
title = {{Contour Tree Depth Images For Large Data Visualization
}},
author = {Biedert, Tim and 
Garth, Christoph
},
year = {2015
},
publisher = {The Eurographics Association
},
ISBN = {},
DOI = {10.2312/pgv.20151158
}
}