Adaptive, multiresolution visualization of large data sets using parallel octrees.

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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 work-stations. To address this problem, we have created a technique that combines hierarchical data reduction methods with parallel computing to allow interactive exploration of large data sets while retaining full-resolution capability. The hierarchical representation is built in parallel by strategically inserting field data into an octree data structure. We provide functionality that allows the user to interactively adapt the resolution of the reduced data sets so that resolution ... continued below

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12 p.

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Freitag, L. A. & Loy, R. M. June 10, 1999.

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Description

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 work-stations. To address this problem, we have created a technique that combines hierarchical data reduction methods with parallel computing to allow interactive exploration of large data sets while retaining full-resolution capability. The hierarchical representation is built in parallel by strategically inserting field data into an octree data structure. We provide functionality that allows the user to interactively adapt the resolution of the reduced data sets so that resolution is increased in regions of interest without sacrificing local graphics performance. We describe the creation of the reduced data sets using a parallel octree, the software architecture of the system, and the performance of this system on the data from a Rayleigh-Taylor instability simulation.

Physical Description

12 p.

Notes

OSTI as DE00011842

Medium: P; Size: 12 pages

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  • SC99: High Performance Networking and Computing Conference, Portland, OR (US), 11/13/1999--11/19/1999

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  • Report No.: ANL/MCS/CP-99211
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 11842
  • Archival Resource Key: ark:/67531/metadc624851

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • June 10, 1999

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • April 6, 2017, 7:55 p.m.

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Freitag, L. A. & Loy, R. M. Adaptive, multiresolution visualization of large data sets using parallel octrees., article, June 10, 1999; Illinois. (digital.library.unt.edu/ark:/67531/metadc624851/: accessed August 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.