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Query-Driven Visualization of Time-Varying Adaptive Mesh Refinement Data

Luke J. Gosink, John C. Anderson, E. Wes Bethel, Kenneth I. Joy
Institute for Data Analysis and Visualization (IDAV) at the University of California, Davis, CA
IEEE Transactions on Visualization and Computer Graphics, 2008

@article{gosink2008query,

   title={Query-driven visualization of time-varying adaptive mesh refinement data},

   author={Gosink, L.J. and Anderson, J.C. and Bethel, E.W. and Joy, K.I.},

   journal={| IEEE Transactions on Visualization and Computer Graphics},

   pages={1715–1722},

   year={2008},

   publisher={Published by the IEEE Computer Society}

}

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The visualization and analysis of AMR-based simulations is integral to the process of obtaining new insight in scientific research. We present a new method for performing query-driven visualization and analysis on AMR data, with specific emphasis on time-varying AMR data. Our work introduces a new method that directly addresses the dynamic spatial and temporal properties of AMR grids that challenge many existing visualization techniques. Further, we present the first implementation of query-driven visualization on the GPU that uses a GPU-based indexing structure to both answer queries and efficiently utilize GPU memory. We apply our method to two different science domains to demonstrate its broad applicability.
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