• DocumentCode
    3374696
  • Title

    Large field visualization with demand-driven calculation

  • Author

    Moran, Patrick J. ; Henze, Chris

  • Author_Institution
    MRI Technol. Solutions, NASA Ames Res. Center, Moffett Field, CA, USA
  • fYear
    1999
  • fDate
    29-29 Oct. 1999
  • Firstpage
    27
  • Lastpage
    506
  • Abstract
    Presents a system designed for the interactive definition and visualization of fields derived from large data sets: the Demand-Driven Visualizer (DDV). The system allows the user to write arbitrary expressions to define new fields, and then apply a variety of visualization techniques to the result. Expressions can include differential operators and numerous other built-in functions. Determination of field values, both in space and in time, is directed automatically by the demands of the visualization techniques. The payoff of following a demand-driven design philosophy throughout the visualization system becomes particularly evident when working with large time-series data, where the costs of eager evaluation alternatives can be prohibitive.
  • Keywords
    calculation; data visualisation; large-scale systems; time series; Demand-Driven Visualizer; Python; arbitrary expressions; built-in functions; demand-driven calculation; demand-driven evaluation; differential operators; eager evaluation alternatives; field value determination; interactive field definition; interpreted systems; large data sets; large field visualization; large-scale visualization; lazy evaluation; scientific visualization; time-series data; Application software; Chromium; Computational fluid dynamics; Computer graphics; Costs; Data visualization; Large-scale systems; NASA; Postal services; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization '99. Proceedings
  • Conference_Location
    San Francisco, CA, USA
  • ISSN
    1070-2385
  • Print_ISBN
    0-7803-5897-X
  • Type

    conf

  • DOI
    10.1109/VISUAL.1999.809864
  • Filename
    809864