Parallel visualization of gigabyte datasets in GeoFEM

Issei Fujishiro, Li Chen, Yuriko Takeshima, Hiroko Nakamura, Yasuko Suzuki

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

An initial overview of parallel visualization in the GeoFEM software system is provided. Our visualization subsystem offers many kinds of parallel visualization methods for the users to visualize their huge finite-element analysis datasets for scalar, vector and/or tensor fields at a reasonable cost. A polygonal simplification scheme is developed to make the transmission and rendition of output graphic primitives more efficient. A salient feature of the subsystem lies in its capability in the automatic setting of visualization parameter values based on the analysis of scalar/flow field topology and volumetric coherence, to improve the quality of visualization results with a minimized number of batch re-executions. Representative experimental results illustrate the effectiveness of our subsystem.

Original languageEnglish
Pages (from-to)521-530
Number of pages10
JournalConcurrency Computation Practice and Experience
Volume14
Issue number6-7
DOIs
Publication statusPublished - 2002 May 1
Externally publishedYes

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Keywords

  • Feature analysis
  • Flow visualization
  • Large-scale data visualization
  • Parallel visualization
  • Polygonal simplification
  • Scientific visualization
  • Volume visualization

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computer Science Applications
  • Computer Networks and Communications
  • Computational Theory and Mathematics

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