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 language | English (US) |
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Title of host publication | Proceedings of the XSEDE 2015 Conference |
Subtitle of host publication | Scientific Advancements Enabled by Enhanced Cyberinfrastructure |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450337205 |
DOIs | |
State | Published - Jul 26 2015 |
Event | 4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 - St. Louis, United States Duration: Jul 26 2015 → Jul 30 2015 |
Publication series
Name | ACM International Conference Proceeding Series |
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Volume | 2015-July |
Other
Other | 4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 |
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Country/Territory | United States |
City | St. Louis |
Period | 7/26/15 → 7/30/15 |
Bibliographical note
Publisher Copyright:Copyright © 2015 ACM.
Keywords
- Computational fluid dynamics
- Visualization