Kenneth Moreland, Brian Wylie, and Constantine Pavlakos. "Sort-Last Parallel Rendering for Viewing Extremely Large Data Sets on Tile Displays." In Proceedings of IEEE 2001 Symposium on Parallel and Large-Data Visualization and Graphics, pp. 85–92, October 2001.
Abstract
Due to the impressive price-performance of today’s PC-based graphics accelerator cards, Sandia National Laboratories is attempting to use PC clusters to render extremely large data sets in interactive applications. This paper describes a sort-last parallel rendering system running on a PC cluster that is capable of rendering enormous amounts of geometry onto high-resolution tile displays by taking advantage of the spatial coherency that is inherent in our data. Furthermore, it is capable of scaling to larger sized input data or higher resolution displays by increasing the size of the cluster. Our prototype is now capable of rendering 120 million triangles per second on a 12 mega-pixel display.
Full Paper
Sort-Last Parallel Rendering for Viewing Extremely Large Data Sets on Tile Displays
Supplemental Materal
- The slides presented at PVG 2001.
- The algorithms presented in this paper now belong to a parallel rendering library called IceT.
