Remote rendering for ultrascale data.

The mission of the SciDAC Institute for Ultrascale Visualization is to address the upcoming petascale visualization challenges. As we move to petascale computation, we are seeing a trend not only in the growth but also in the consolidation of computing resources. As the distances between user and petascale visualization resources grow, the expected performance of the network degrades, especially with respect to latency. In this paper we will explore a technique for remote visualization that leverages unstructured lumigraph rendering. This technique will provide an interactive rendering experience regardless of the network performance to the remote visualization resource. The unstructured lumigraph rendering can also replace many of the other level-of-detail techniques currently used that have problems that are exasperated by petascale data.

[1]  Kwan-Liu Ma,et al.  Parallel Volume Rendering Using Binary-Swap Image Composition , 2008, International Conference on Computer Graphics and Interactive Techniques.

[2]  James P. Ahrens,et al.  Remote large data visualization in the paraview framework , 2006, EGPGV '06.

[3]  Peter Lindstrom,et al.  Out-of-core simplification of large polygonal models , 2000, SIGGRAPH.

[4]  Sean Ahern,et al.  Petascale visual data analysis in a production computing environment , 2007 .

[5]  Kwan-Liu Ma,et al.  Parallel volume rendering using binary-swap compositing , 1994, IEEE Computer Graphics and Applications.

[6]  Michael Bosse,et al.  Unstructured lumigraph rendering , 2001, SIGGRAPH.

[7]  Kenneth Moreland,et al.  Scalable Rendering on PC Clusters , 2000, IEEE Computer Graphics and Applications.