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Manuscript Title: Scalable and portable visualization of large atomistic datasets.
Authors: Ashish Sharma, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta
Program title: Atomsviewer
Catalogue identifier: ADUM_v1_0 Distribution format: tar.gz
Journal reference: Comput. Phys. Commun. 163(2004)53
Programming language: C++, C and OpenGL.
Computer: 2.4Ghz Pentium 4/Xeon processor, professional graphics card; Apple G4(867 Mhz) / G5, professional graphics card.
Operating system: Windows 2000/XP, Mac OS 10.2/10.3, SGI IRIX 6.5.
RAM: 1 gigabyte
Keywords: Visualization, hierarchical view frustum culling, probabilistic occlusion culling, multiresolution algorithm, molecular dynamics.
PACS: 07.05.Rm, 02.70.Ns.
Classification: 14.
Nature of problem: Scientific visualization of atomic systems.
Solution method: Rendering of atoms using computer graphic techniques, culling algorithms for data minimization, and levels-of-detail for minimal rendering. The conceptual foundation and subsequent implementation of the algorithms are found in [1].
Running time: The program is interactive in its execution.
References:
[1]	A. Sharma, A. Nakano, R.K. Kalia, P. Vashishta, S. Kodiyalam, P. Miller, W. Zhao, X.L. Liu, T.J. Campbell and A. Haas, Presence - Teleoperators and Virtual Environments 12(1) (2003).