Comparison of remote visualization strategies for interactive exploration of large data sets

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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 ... continued below

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9 pages

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Freitag, L. A. & Loy, R. M. May 12, 2000.

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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.

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9 pages

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  • IEEE Visualization 2000, Salt Lake City, UT (US), 08/08/2000--08/13/2000; Other Information: PBD: 12 May 2000

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  • Report No.: ANL/MCS/CP-101888
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 755877
  • Archival Resource Key: ark:/67531/metadc710831

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Office of Scientific & Technical Information Technical Reports

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  • May 12, 2000

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  • Sept. 12, 2015, 6:31 a.m.

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  • March 30, 2016, 12:19 p.m.

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Freitag, L. A. & Loy, R. M. Comparison of remote visualization strategies for interactive exploration of large data sets, article, May 12, 2000; Illinois. (digital.library.unt.edu/ark:/67531/metadc710831/: accessed December 15, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.