Terrain perspectives on a massively parallel SIMD computer
Scientific visualization of physical phenomena
A Sorting Classification of Parallel Rendering
IEEE Computer Graphics and Applications
An introduction to parallel rendering
Parallel Computing - Special issue on applications: parallel graphics and visualisation
Fast view-dependent level-of-detail rendering using cached geometry
Proceedings of the conference on Visualization '02
RIVA: A Versatile Parallel Rendering System for Interactive Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics
Real-Time Optimal Adaptation for Planetary Geometry and Texture: 4-8 Tile Hierarchies
IEEE Transactions on Visualization and Computer Graphics
GeoWall: Stereoscopic Visualization for Geoscience Research and Education
IEEE Computer Graphics and Applications
Survey of semi-regular multiresolution models for interactive terrain rendering
The Visual Computer: International Journal of Computer Graphics
Equalizer: A Scalable Parallel Rendering Framework
IEEE Transactions on Visualization and Computer Graphics
Journal of Computer Science and Technology - Special issue on Natural Language Processing
Cross-segment load balancing in parallel rendering
EG PGV'11 Proceedings of the 11th Eurographics conference on Parallel Graphics and Visualization
GPU algorithms for diamond-based multiresolution terrain processing
EG PGV'11 Proceedings of the 11th Eurographics conference on Parallel Graphics and Visualization
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In this paper, we introduce a novel out-of-core parallel and scalable technique for rendering massive terrain datasets. The parallel rendering task decomposition is implemented on top of an existing terrain renderer using an open source framework for cluster-parallel rendering. Our approach achieves parallel rendering by division of the rendering task either in sort-last (database) or sort-first (screen domain) manner and presents an optimal method for implicit load balancing in the former mode. The efficiency of our approach is validated using massive elevation models.