A Cloud-enabled Remote Visualization Tool for Time-varying Climate Data Analytics
Remote visualization, Climate data, Cloud-enabled, GPU
College of Natual Science and Mathematics, Geography and the Environment
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.
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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.