title: Query-driven visualization of time-varying adaptive mesh refinement data.
abstract: 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.
authors.affiliation: Institute for Data Analysis and Visualization, University of California, Davis, CA, USA. ljgosink@ucdavis.edu
authors.forename: Luke J
authors.initials: LJ
authors.lastname: Gosink
authors.forename: John C
authors.initials: JC
authors.lastname: Anderson
authors.forename: E Wes
authors.initials: EW
authors.lastname: Bethel
authors.forename: Kenneth I
authors.initials: KI
authors.lastname: Joy