Virtual Rheoscopic Fluid for Large Dynamics Visualization

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).