Comparison of remote visualization strategies for interactive exploration of large data sets
We compare three remote visualization strategies used for interactive exploration of large data sets: image-based rendering, parallel visualization servers, and subsampling. We review each strategy and provide details for an adaptive multiresolution subsampling technique that we have developed. To determine the problem regimes for which each approach is most cost effective, we develop performance models to analyze the costs of computation and communication associated with the common visualization task of isosurface generation. Using these models, we investigate a number of hardware system configurations and task complexity scenarios when parameters such as problem size, visualization demands, and network bandwidth change. For one particular strategy, subsampling, we further investigate the tradeoffs between multiresolution and uniform grid methods in terms of performance and approximation errors.
- Research Organization:
- Argonne National Lab., IL (US)
- Sponsoring Organization:
- US Department of Energy (US)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 755877
- Report Number(s):
- ANL/MCS/CP-101888; TRN: US200223%%639
- Resource Relation:
- Conference: IEEE Visualization 2000, Salt Lake City, UT (US), 08/08/2000--08/13/2000; Other Information: PBD: 12 May 2000; PBD: 12 May 2000
- Country of Publication:
- United States
- Language:
- English
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