Multi-Scale Data Visualization for Computational Astrophysics and Climate Dynamics

Authors

Sean Ahern, Oak Ridge National Laboratory
Jamison R. Daniel, Oak Ridge National Laboratory
Jinzhu Gao, Oak Ridge National LaboratoryFollow
George Ostrouchoy, Oak Ridge National Laboratory
Ross J. Toedte, Oak Ridge National Laboratory
Chaoli Wang, Oak Ridge National Laboratory

Department

Computer Science

Document Type

Article

Publication Title

Journal of Physics: Conference Series

Volume

46

DOI

10.1088/1742-6596/46/1/076

First Page

550

Last Page

555

Publication Date

6-1-2006

Abstract

Computational astrophysics and climate dynamics are two principal application foci at the Center for Computational Sciences (CCS) at Oak Ridge National Laboratory (ORNL). We identify a dataset frontier that is shared by several SciDAC computational science domains and present an exploration of traditional production visualization techniques enhanced with new enabling research technologies such as advanced parallel occlusion culling and high resolution small multiples statistical analysis. In collaboration with our research partners, these techniques will allow the visual exploration of a new generation of peta-scale datasets that cross this data frontier along all axes.

Recommended Citation

Ahern, S., Daniel, J. R., Gao, J., Ostrouchoy, G., Toedte, R. J., & Wang, C. (2006). Multi-Scale Data Visualization for Computational Astrophysics and Climate Dynamics. Journal of Physics: Conference Series, 46, 550–555. DOI: 10.1088/1742-6596/46/1/076
https://scholarlycommons.pacific.edu/soecs-facarticles/72