Published March 18, 2008

Related sites: Scientific Vis, Paraview, VTK

Facilitating Interactive Visualization in ParaView

Kitware is working with Los Alamos National Labs on a project that will extend ParaView to enable interactive visualization on a remote client, even when the data size exceeds the cluster's available memory. Massive datasets can make visualization difficult or impossible. One solution is to divide a dataset into smaller pieces, stream these pieces through memory while running algorithms on each piece.

In the paper "A modular extensible visualization system architecture for culled prioritized data streaming" (Ahrens, et. al.), published in The Proceedings of SPIE Volume 6495, a modular data-flow visualization system architecture for culled prioritized data streaming is presented. This improves program performance by discarding pieces of the input dataset that are not required to complete the visualization and prioritizing the ones that are. Using prioritized ordering, the architecture presents a progressively rendered result in a significantly shorter time than standard visualization architecture.