In-Core volume rendering for cartesian grid fluid dynamics simulations

Ted Wetherbee, Elizabeth Jones, Michael Knox, Stou Sandalski, Paul Woodward

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

1 Scopus citations

Abstract

The volume rendering code Srend is designed for visualization of computational fluid dynamics simulations which use Cartesian grids, and it is designed to be compiled within the application for in-core rendering. Srend was embedded in three codes: Piecewise Parabolic Method (PPMstar), Cloud Model 1 (CM1), and Weather Research Forecast model (WRF). Results show modest rendering overhead, fine quality imagery, and high potential for scaling. When embedded in a code, Srend produces immediate, quality imagery, and this capability can sharply reduce data output & storage requirements.

Original languageEnglish (US)
Title of host publicationProceedings of the XSEDE 2015 Conference
Subtitle of host publicationScientific Advancements Enabled by Enhanced Cyberinfrastructure
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450337205
DOIs
StatePublished - Jul 26 2015
Event4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 - St. Louis, United States
Duration: Jul 26 2015Jul 30 2015

Publication series

NameACM International Conference Proceeding Series
Volume2015-July

Other

Other4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015
Country/TerritoryUnited States
CitySt. Louis
Period7/26/157/30/15

Bibliographical note

Publisher Copyright:
Copyright © 2015 ACM.

Keywords

  • Computational fluid dynamics
  • Visualization

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