A Cloud-enabled Remote Visualization Tool for Time-varying Climate Data Analytics

Authors

Tong Zhang, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Collaborative Innovation Center of Geospatial Technology
Jing Li, University of DenverFollow
Qing Liu, University of Denver
Qunying Huang, University of Wisconsin-Madison

Publication Date

11-14-2015

Document Type

Article

Organizational Units

Geography and the Environment

Keywords

Remote visualization, Climate data, Cloud-enabled, GPU

Abstract

The ever-growing time-varying climate datasets pose challenges for efficient analytics using the current desktop-based or generic remote visualization tools. We present a tightly-coupled scalable cloud-enabled remote visualization tool that exploits the computational capabilities of Graphical Processing Units (GPUs). We implement three typical volumetric/3D visualization techniques to illustrate the enhanced performance offered by remote GPU clusters. Our development also enables fast deployment to facilitate the access of remote analytics tools by a wide range of end users.

Publication Statement

Copyright held by author or publisher. User is responsible for all copyright compliance.

Recommended Citation

Zhang, Tong, et al. “A Cloud-Enabled Remote Visualization Tool for Time-Varying Climate Data Analytics.” Environmental Modelling & Software : with Environment Data News, vol. 75, 2016, pp. 513–518. doi: 10.1016/j.envsoft.2015.10.033.