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Particle-based Visualization of Large Cosmological Datasets

Niko Lukac
Laboratory for Geometric Modelling and Multimedia Algorithms, Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova ulica 17, SI-2000 Maribor, Slovenia
Central European Seminar on Computer Graphics (CESCG), 2011

@article{lukac2011particle,

   title={Particle-based Visualization of Large Cosmological Datasets},

   author={Luka{v{c}}, N.},

   year={2011}

}

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Large quantities of simulated cosmological particlebased data cause considerable problems when it comes to real-time visualization. This paper considers an out-ofcore approach for solving visualization problems on a single-desktop workstation. The approach proposed in this paper consists of two phases: the data preprocessing and its visualization. During the preprocessing, the cosmological data is hierarchically organized and efficiently ordered. Before rendering, the data is streamed to the memory from the disk. The culling techniques, such as view frustum culling and level-ofdetail (LOD) are applied for visualization. In most cases, the real-time visualization of large cosmological particle datasets is achieved.
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