Using desktop graphics workstations for interactive remote exploration of large data sets

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The interactive visualization and exploration of large scientific data sets is a challenging and difficult task; their size often far exceeds the performance and memory capacity of even the most powerful graphics workstations. To address this problem, we have created a technique that combines multiresolution data reduction methods with parallel computing to allow interactive exploration of large data sets while retaining full-resolution capability. We describe the creation of reduced data sets using several different criteria including user-specified error bounds or a preset performance criterion. We discuss the software architecture of the system with particular emphasis on the algorithms used to ... continued below

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6 pages

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Freitag, L. A. & Loy, R. M. May 9, 2000.

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The interactive visualization and exploration of large scientific data sets is a challenging and difficult task; their size often far exceeds the performance and memory capacity of even the most powerful graphics workstations. To address this problem, we have created a technique that combines multiresolution data reduction methods with parallel computing to allow interactive exploration of large data sets while retaining full-resolution capability. We describe the creation of reduced data sets using several different criteria including user-specified error bounds or a preset performance criterion. We discuss the software architecture of the system with particular emphasis on the algorithms used to efficiently create a reduced data set and the software used to communicate between the remote data reduction server and the local graphics client. We present performance results for the visualization of Rayleigh-Taylor instability and hairpin vortex data sets.

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6 pages

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  • Visualization Development Environments 2000, Princeton, NJ (US), 04/27/2000--04/28/2000; Other Information: PBD: 9 May 2000

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  • Report No.: ANL/MCS/CP-101847
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 755872
  • Archival Resource Key: ark:/67531/metadc705642

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  • May 9, 2000

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  • Sept. 12, 2015, 6:31 a.m.

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  • March 29, 2016, 3:24 p.m.

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Freitag, L. A. & Loy, R. M. Using desktop graphics workstations for interactive remote exploration of large data sets, article, May 9, 2000; Illinois. (digital.library.unt.edu/ark:/67531/metadc705642/: accessed August 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.