作者: Zhang, T (Zhang, Tong); Li, J (Li, Jing); Liu, Q (Liu, Qing); Huang, QY (Huang, Qunying)

来源出版物: ENVIRONMENTAL MODELLING & SOFTWARE 卷: 75 特刊: SI 页: 513-518 DOI: 10.1016/j.envsoft.2015.10.033 出版年: JAN 2016

摘要: 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. (C) 2015 Elsevier Ltd. All rights reserved.