Parallel visualization of large-scale aerodynamics calculations: A case study on the cray T3E

Kwan-Liu Ma, Thomas W. Crockett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

This paper reports the performance of a parallel volume rendering algorithm for visualizing a large-scale unstructured-grid dataset produced by a three-dimensional aerodynamics simulation. This dataset, containing over 18 million tetrahedra, allows us to extend our performance results to a problem which is more than 30 times larger than the one we examined previously. This high resolution dataset also allows us to see fine, three-dimensional features in the flow field. All our tests were performed on the SGI/Cray T3E operated by NASA's Goddard Space Flight Center. Using 511 processors, a rendering rate of almost 9 million tetrahedra/second was achieved with a parallel overhead of 26%.

Original languageEnglish (US)
Title of host publicationProceedings of the 1999 IEEE Symposium on Parallel Visualization and Graphics, PVGS 1999
PublisherAssociation for Computing Machinery, Inc
Pages15-20
Number of pages6
ISBN (Electronic)1581132379, 9781581132373
DOIs
StatePublished - Oct 25 1999
Event1999 IEEE Symposium on Parallel Visualization and Graphics, PVGS 1999 - San Francisco, United States
Duration: Oct 25 1999Oct 26 1999

Other

Other1999 IEEE Symposium on Parallel Visualization and Graphics, PVGS 1999
CountryUnited States
CitySan Francisco
Period10/25/9910/26/99

Keywords

  • Computational fluid dynamics
  • Parallel algorithms
  • Parallel rendering
  • Scientific visualization
  • T3E
  • Unstructured grids
  • Volume rendering

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Software

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    Ma, K-L., & Crockett, T. W. (1999). Parallel visualization of large-scale aerodynamics calculations: A case study on the cray T3E. In Proceedings of the 1999 IEEE Symposium on Parallel Visualization and Graphics, PVGS 1999 (pp. 15-20). Association for Computing Machinery, Inc. https://doi.org/10.1145/328712.319332