Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6962787 | Environmental Modelling & Software | 2016 | 6 Pages |
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.
Keywords
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Physical Sciences and Engineering
Computer Science
Software
Authors
Tong Zhang, Jing Li, Qing Liu, Qunying Huang,