A Research Project in Scientific Visualization centered on the development of cache oblivious approaches for the management, streaming and rendering of large surface and volume meshes. Principal Investigator: Valerio Pascucci Other team members: Brian Summa, Peer-Timo Bremer, Giorgio Scorzelli, Cameron Christensen, and Attila Gyulassy.

In the ViSUS project (see the featured article in the LDRD report) we develop data streaming techniques for progressive processing and visualization of large scientific datasets. Our strategy is to exploit the coupling between time-critical algorithms and progressive multi-resolution data-structures to realize an end-to-end optimized flow of data from the original source, such as remote storage or large scientific simulation, to the rendering hardware. The implementation of this approach will enable three major visualization modalities. (i) Interactive visualization on high resolution power-walls. (ii) Interactive visualization on desktop workstations of large datasets that cannot be stored locally. (iii) Immediate monitoring of remote simulations from a desktop workstation. These modalities target multiple phases in the process of generating and exploring very large simulation datasets where real-time user interaction can increase the productivity of scientists.

Download Microsoft Window Installer (GIT 04468eb3f0 24 April 2012) here