In Situ Pathtube Visualization with Explorable Images
In Situ Pathtube Visualization with Explorable Images
复制标题
具有可探索图像的原位路径管可视化
DOI：
10.2312/egpgv/egpgv13/009-016
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
K. Ma
中科院分区：
文献类型：
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作者：
Yucong Ye;Robert Miller;K. Ma
现场处理被认为是最合理的数据分析和可视化解决方案的极端规模的模拟。引入可探测图像作为一种现场可视化方法，使标量场数据的交互式探索，而不需要访问大量的原始数据和强大的计算机。我们提出了一种技术，用于在原位生成可探索的图像的矢量场数据的可视化，而不会引起额外的处理器间的通信在模拟过程中。我们证明了这种技术的pathtube生成各种大型数据集。由此产生的pathtube可视化简洁地捕捉了整个模拟时间跨度内的流动结构。用户可以通过改变视角、生成块剖切、调整照明或改变传递函数来重新着色pathtube或提供部分透明度，从而通过生成的图像来探索矢量场结构。
In situ processing is considered to be the most plausible data analysis and visualization solution for extreme-scale simulations. Explorable images were introduced as an in situ visualization method to enable interactive exploration of scalar field data without need for access to the massive original data and a powerful computer. We present a technique for in situ generation of explorable images for the visualization of vector field data without incurring additional inter-processor communication during simulation. We demonstrate this technique for pathtube generation on a variety of large datasets. The resulting pathtube visualization succinctly captures the flow structure over the full time span of the simulation. Users may explore the vector field structure through the generated images by changing the view angle, generating block cutaways, adjusting lighting, or changing transfer functions to recolor pathtubes or provide partial transparency.