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Related Experiment Videos

Concurrent visualization in a production supercomputing environment.

David Ellsworth1, Bryan Green, Chris Henze

  • 1AMTI, NASA Ames Research Center, USA. ellswort@nas.nasa.gov

IEEE Transactions on Visualization and Computer Graphics
|November 4, 2006
PubMed
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A new concurrent visualization pipeline enables real-time analysis of supercomputer models, like the GEOS4 hurricane forecast system. This allows scientists to gain new insights into atmospheric and oceanic dynamics through high-resolution animations.

Area of Science:

  • Scientific Visualization
  • High-Performance Computing
  • Computational Science

Background:

  • Supercomputing environments require efficient data visualization for complex models.
  • Real-time analysis is crucial for time-critical applications like hurricane forecasting.

Purpose of the Study:

  • To develop a concurrent visualization pipeline for production supercomputing.
  • To enable visualization of global fields without impacting model performance.
  • To facilitate low-bandwidth distribution of visualization streams.

Main Methods:

  • Designed a configurable concurrent pipeline for massively parallel models.
  • Utilized MPEG compression for image distribution.
  • Applied the framework to atmospheric (GEOS4) and oceanic circulation models.

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Main Results:

  • Successfully visualized multiple global fields from the GEOS4 model during hurricane season.
  • Achieved an 864-fold increase in temporal resolution for animations with an ocean model.
  • Enabled live, low-bandwidth distribution of visualization streams.

Conclusions:

  • The concurrent visualization pipeline enhances scientific insight into model dynamics.
  • High temporal resolution animations are attainable in supercomputing environments.
  • The framework improves the practical application of complex scientific models.