SC12 Home > SC12 Schedule > SC12 Presentation - Virtual Rheoscopic Fluid for Large Dynamics Visualization

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

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar