Abstract Numerical analysis of large-scale and multidisciplinary problems on high-performance computer systems is one of the main computational challenges of the 21st century. The amount of data processed in complex systems analyses approaches peta- and exascale. The technical possibility for real-time visualization, post-processing and analysis of large-scale models is extremely important for carrying out comprehensive numerical studies. Powerful visualization is going to play an important role in the future of large-scale models. In this paper, we describe several software extensions aimed to improve visualization performance for large-scale models and developed by our team for 3D virtual environment systems such as \CAVEs\ and Powerwalls. These extensions include an algorithm for real-time generation of isosurfaces on large meshes and a visualization system designed for massively parallel computing environment. Besides, we describe an augmented reality system developed by the part of our team in Stuttgart.
%0 Journal Article
%1 Melnikova2015679
%A Melnikova, Natalia
%A Orlov, Stepan
%A Shabrov, Nikolay
%A Kiev, Vlad
%A Kuzin, Aleksey
%A Resch, Michael
%A Woessner, Uwe
%A Aumüller, Martin
%D 2015
%J Procedia Computer Science
%K HLRS myown
%P 679 - 688
%R http://dx.doi.org/10.1016/j.procs.2015.11.077
%T \CAVE\ 3D: Software Extensions for Scientific Visualization of Large-scale Models
%U http://www.sciencedirect.com/science/article/pii/S1877050915034262
%V 66
%X Abstract Numerical analysis of large-scale and multidisciplinary problems on high-performance computer systems is one of the main computational challenges of the 21st century. The amount of data processed in complex systems analyses approaches peta- and exascale. The technical possibility for real-time visualization, post-processing and analysis of large-scale models is extremely important for carrying out comprehensive numerical studies. Powerful visualization is going to play an important role in the future of large-scale models. In this paper, we describe several software extensions aimed to improve visualization performance for large-scale models and developed by our team for 3D virtual environment systems such as \CAVEs\ and Powerwalls. These extensions include an algorithm for real-time generation of isosurfaces on large meshes and a visualization system designed for massively parallel computing environment. Besides, we describe an augmented reality system developed by the part of our team in Stuttgart.
@article{Melnikova2015679,
abstract = {Abstract Numerical analysis of large-scale and multidisciplinary problems on high-performance computer systems is one of the main computational challenges of the 21st century. The amount of data processed in complex systems analyses approaches peta- and exascale. The technical possibility for real-time visualization, post-processing and analysis of large-scale models is extremely important for carrying out comprehensive numerical studies. Powerful visualization is going to play an important role in the future of large-scale models. In this paper, we describe several software extensions aimed to improve visualization performance for large-scale models and developed by our team for 3D virtual environment systems such as \{CAVEs\} and Powerwalls. These extensions include an algorithm for real-time generation of isosurfaces on large meshes and a visualization system designed for massively parallel computing environment. Besides, we describe an augmented reality system developed by the part of our team in Stuttgart. },
added-at = {2015-11-28T22:55:32.000+0100},
author = {Melnikova, Natalia and Orlov, Stepan and Shabrov, Nikolay and Kiev, Vlad and Kuzin, Aleksey and Resch, Michael and Woessner, Uwe and Aumüller, Martin},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2d089904a20197254d123cdebff112e9f/dr.uwewssner},
doi = {http://dx.doi.org/10.1016/j.procs.2015.11.077},
interhash = {727e58a7e2a11a20d7792aef8d57cec7},
intrahash = {d089904a20197254d123cdebff112e9f},
issn = {1877-0509},
journal = {Procedia Computer Science },
keywords = {HLRS myown},
note = {4th International Young Scientist Conference on Computational Science },
pages = {679 - 688},
timestamp = {2015-11-28T21:55:32.000+0100},
title = {\{CAVE\} 3D: Software Extensions for Scientific Visualization of Large-scale Models },
url = {http://www.sciencedirect.com/science/article/pii/S1877050915034262},
volume = 66,
year = 2015
}
