In Situ Pathtube Visualization with Explorable Images

Ye, Yucong; Miller, Robert; Ma, Kwan-Liu

In Situ Pathtube Visualization with Explorable Images

Files

009-016.pdf (1.17 MB)

Date

2013

Authors

Ye, Yucong
Miller, Robert
Ma, Kwan-Liu

Publisher

The Eurographics Association

Abstract

In situ processing is considered to be the most plausible data analysis and visualization solution for extreme-scale simulations. Explorable images were introduced as an in situ visualization method to enable interactive exploration of scalar field data without need for access to the massive original data and a powerful computer. We present a technique for in situ generation of explorable images for the visualization of vector field data without incurring additional inter-processor communication during simulation. We demonstrate this technique for pathtube generation on a variety of large datasets. The resulting pathtube visualization succinctly captures the flow structure over the full time span of the simulation. Users may explore the vector field structure through the generated images by changing the view angle, generating block cutaways, adjusting lighting, or changing transfer functions to recolor pathtubes or provide partial transparency.

        @inproceedings{:10.2312/EGPGV/EGPGV13/009-016
,
booktitle = {Eurographics Symposium on Parallel Graphics and Visualization
},
editor = {Fabio Marton and Kenneth Moreland
},
title = {{In Situ Pathtube Visualization with Explorable Images
}},
author = {Ye, Yucong and 
Miller, Robert and 
Ma, Kwan-Liu
},
year = {2013
},
publisher = {The Eurographics Association
},
ISSN = {1727-348X
},
ISBN = {978-3-905674-45-3
},
DOI = {/10.2312/EGPGV/EGPGV13/009-016
}
}