Title

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

Document Type

Article

Publication Date

11-14-2015

Keywords

Remote visualization, Climate data, Cloud-enabled, GPU

Organizational Units

College of Natual Science and Mathematics, Geography and the Environment

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.

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