Immersive and Interactive Exploration of Billion-Atom Systems

Author:

Sharma Ashish1,Nakano Aiichiro2,Kalia Rajiv K.3,Vashishta Priya4,Kodiyalam Sanjay,Miller Paul,Zhao Wei,Liu Xinlian5,Campbell Timothy J.,Haas Andy6

Affiliation:

1. Collaboratory for Advanced, Computing and Simulations, Dept. of Computer Science,

2. Dept. of Computer Science,

3. Dept. of Physics & Astronomy,

4. Dept. of Materials Science & Engineering, University of Southern California, Los Angeles, California 90089,

5. Concurrent Computing Laboratory for Material Simulations, Biological Computing and, Visualization Center, Dept. of Computer Science, Dept. of Physics & Astronomy, Louisiana State University, Louisiana 70803, USA

6. Naval Oceanographic Office Major, Shared Resourse Center, Stennis Space Center, Mississippi 39529, USA,

Abstract

We have developed a visualization system, namedAtomsviewer, to render a billion atoms from the results of a molecular dynamics simulation. This system uses a hierarchical view frustum culling algorithm based on the octree data structure to efficiently remove atoms that are outside of the field of view. A novel occlusion culling algorithm, using a probability function, then selects atoms with a high probability of being visible. These selected atoms are further tested with a traditional occlusion culling algorithm before being rendered as spheres at varying levels of detail. To achieve scalability, Atomsviewer is distributed over a cluster of PCs that execute a parallelized version of the hierarchical view frustum culling and the probabilistic occlusion culling, and a graphics workstation that renders the atoms. We have used Atomsviewer to render a billion-atom data set on a dual processor SGI Onyx2 with an InfiniteReality2 graphics pipeline connected to a four-node PC cluster.

Publisher

MIT Press - Journals

Subject

Computer Vision and Pattern Recognition,Human-Computer Interaction,Control and Systems Engineering,Software

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