SCHEDULE: NOV 10-16, 2012
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Virtual Rheoscopic Fluid for Large Dynamics Visualization
SESSION: Scientific Visualization Showcase Reception
EVENT TYPE: Scientific Visualization Showcases
TIME: 5:15PM - 7:00PM
AUTHOR(S):Paul A. Navrátil, William L. Barth, Hank Childs
ROOM:North Foyer
ABSTRACT:
Visualizations of fluid hydraulics often use some combination of isosurfacing and streamlines to identify flow features. Such algorithms show surface features well, but nearby features and internal features can be difficult to see. However, virtual rheoscopic fluids (VRF) provide a physically-based visualization that can be analyzed like physical rheoscopic fluid and can show nearby and internal features. Whereas previous VRF implementations were custom serial implementations that could not scale to large dynamics problems, these visualizations demonstrate our scalable VRF algorithm operating on large fluid dynamics data. Our algorithm is implemented in VisIt and the movies were generated on TACC's Longhorn machine using 128 nodes (1024 cores).
Chair/Author Details:
Paul A. Navrátil - Texas Advanced Computing Center
William L. Barth - Texas Advanced Computing Center
Hank Childs - Lawrence Berkeley National Laboratory
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Virtual Rheoscopic Fluid for Large Dynamics Visualization
SESSION: Scientific Visualization Showcase Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
AUTHOR(S):Paul A. Navrátil, William L. Barth, Hank Childs
ROOM:North Foyer
ABSTRACT:
Visualizations of fluid hydraulics often use some combination of isosurfacing and streamlines to identify flow features. Such algorithms show surface features well, but nearby features and internal features can be difficult to see. However, virtual rheoscopic fluids (VRF) provide a physically-based visualization that can be analyzed like physical rheoscopic fluid and can show nearby and internal features. Whereas previous VRF implementations were custom serial implementations that could not scale to large dynamics problems, these visualizations demonstrate our scalable VRF algorithm operating on large fluid dynamics data. Our algorithm is implemented in VisIt and the movies were generated on TACC's Longhorn machine using 128 nodes (1024 cores).
Chair/Author Details:
Paul A. Navrátil - Texas Advanced Computing Center
William L. Barth - Texas Advanced Computing Center
Hank Childs - Lawrence Berkeley National Laboratory
Click here to download .ics calendar file
