Publikation

Visualization of Adaptive Mesh Refinement Data

Gunther Weber, Hans Hagen, Bernd Hamann, Kenneth I. Joy, Terry J. Ligocki, Kwan-Liu Ma, John M. Shalf

In: Robert F. Erbacher , Philip C. Chen , Jonathan C. Roberts , Craig M. Wittenbrink , Matti Gröhn (Hrsg.). Visual Data Exploration and Analysis VIII. Visual Data Exploration and Analysis January 22-23 San Jose CA United States Seiten 121-132 Proceedings of SPIE 4302 SPIE 2001.

Abstrakt

The complexity of physical phenomena often varies substantially over space and time. There can be regions where a physical phenomenon/quantity varies very little over a large extent. At the same time, there can be small regions where the same quantity exhibits highly complex variations. Adaptive mesh refinement (AMR) is a technique used in computational fluid dynamics to simulate phenomena with drastically varying scales concerning the complexity of the simulated variables. Using multiple nested grids of different resolutions, AMR combines the topological simplicity of structured-rectilinear grids, permitting efficient computational and storage, with the possibility to adapt grid resolutions in regions of complex behavior. We present methods for direct volume rendering of AMR data. Our methods utilize AMR grids directly for efficiency of the visualization process. We apply a hardware-accelerated rendering method to AMR data supporting interactive manipulation of color-transfer functions and viewing parameters. We also present a cell-projection-based rendering technique for AMR data.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence