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Abstract: State of the art scientific simulations are currently working with data set sizes on the order of a billion cells. Parallel rendering is a promising approach for interactively visualizing multiple isosurface variables from data sets of this magnitude. In sort-last rendering, each processor creates a depth buffered image of its assigned objects. All processors' images are composited together to create a final result. Improving the efficiency of this compositing step is key to interactive... (Update)
Context of citations to this paper: More
...updated by each processor (the active pixels) and only composited them instead of compositing the entire screen. Ahrens and Painter [1] compressed pixel color and depth values using run length encoding before transmitting them for composition. Other researchers have...
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BibTeX entry: (Update)
James Ahrens and James Painter. Efficient sort-last rendering using compression-based image compositing. Second Eurographics Workshop on Parallel Graphics and Visualisation, September 1998. http://citeseer.ist.psu.edu/ahrens98efficient.html More
@inproceedings{ ahrens98efficient,
author = "J. Ahrens and J. Painter",
title = "Efficient sort-last rendering using compression-based image compositing",
booktitle = "Second Eurographics Workshop on Parallel Graphics and Visualisation",
month = sep,
year = "1998",
url = "citeseer.ist.psu.edu/ahrens98efficient.html" }
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