Towards Distributed Visualization and Analysis of Large Flow Data

Hans-Christian HEGE; Tino WEINKAUF; Steffen PROHASKA; Andrei HUTANU

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Towards Distributed Visualization and Analysis of Large Flow Data

机译：面向大流量数据的分布式可视化和分析

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Fluid dynamics applications require a good understanding of the underlying physical phenomena. Therefore, effective procedures are necessary for analyzing and visualizing the various physical fields. Beside interactive and perceptually efficient techniques for visualizing flow fields directly, there is strong demand for methods that uncover hidden flow structures. Some recently developed feature based visual analysis methods are exemplarily presented. Fluid flow data typically are large and often are stored remotely or distributedly. The interactive visual analysis of such large data sets requires new software architectures - ideally utilizing emerging Grid standards. We discuss such architectures and report on specific software realizations.

机译：流体动力学应用需要对潜在的物理现象有很好的了解。因此，需要有效的过程来分析和可视化各种物理场。除了直接可视化流场的交互式且在感知上有效的技术外，对揭示隐藏流结构的方法也有强烈的需求。示例性地提出了一些最近开发的基于特征的视觉分析方法。流体流量数据通常很大，通常会远程或分布式存储。对如此大的数据集进行交互式可视化分析需要新的软件体系结构-理想情况下是利用新兴的Grid标准。我们讨论了这样的体系结构，并报告了特定的软件实现。

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《JSME International Journal. Series B, Fluids and Thermal Engineering》 |2005年第2期|p.241-246|共6页
作者
Hans-Christian HEGE; Tino WEINKAUF; Steffen PROHASKA; Andrei HUTANU;
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正文语种 eng
中图分类机械学（机械设计基础理论）;能源与动力工程;
关键词
Flow Visualization; Vector Fields; Feature Extraction; Topology; Distributed Systems; Grid Technology;

机译：流可视化;矢量场;特征提取;拓扑;分布式系统;网格技术;

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Towards Distributed Visualization and Analysis of Large Flow Data

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