A Scalable Cluster-based Parallel Simplification Framework for Height Fields

Gouranton, V.; Limet, S.; Madougou, S.; Melin, E.

A Scalable Cluster-based Parallel Simplification Framework for Height Fields

Files

059-066.pdf (1.13 MB)

Date

2004

Authors

Gouranton, V.
Limet, S.
Madougou, S.
Melin, E.

Publisher

The Eurographics Association

Abstract

In this paper, we present a method to interactively render 3D large datasets on a PC Cluster. Classical methods use simplification to fill up the gap between such models and graphics card capabilities. Unfortunatelly, simplification algorithms are time and memory consuming and they allow real-time interaction only for a restricted size of models. This work focuses on parallelizing Rottger's simplification algorithm for height fields but the main ideas can be generalized to other scientific areas. The method benefits from the scalable computating power of clusters. As our results show it, this permits us to achieve a data scaling while maintaining an acceptable frame rate with real-time interaction. Moreover, the scheme can take avantage of tiled-display environments.

        @inproceedings{:10.2312/EGPGV/EGPGV04/059-066
,
booktitle = {Eurographics Workshop on Parallel Graphics and Visualization
},
editor = {Dirk Bartz and Bruno Raffin and Han-Wei Shen
},
title = {{A Scalable Cluster-based Parallel Simplification Framework for Height Fields
}},
author = {Gouranton, V. and 
Limet, S. and 
Madougou, S. and 
Melin, E.
},
year = {2004
},
publisher = {The Eurographics Association
},
ISSN = {1727-348X
},
ISBN = {3-905673-11-8
},
DOI = {/10.2312/EGPGV/EGPGV04/059-066
}
}