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

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4 Author(s)
Gosink, L.J. ; Inst. for Data Anal. & Visualization, Univ. of California, Davis, CA ; Anderson, J.C. ; Bethel, E.W. ; Joy, K.I.

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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Visualization and Computer Graphics, IEEE Transactions on  (Volume:14 ,  Issue: 6 )