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An approach to exascale visualization: Interactive viewing of in-situ visualization

机译:万亿级可视化的一种方法:交互式查看原位可视化

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In the coming era of exascale supercomputing, in-situ visualization will be a crucial approach for reducing the output data size. A problem of in-situ visualization is that it loses interactivity if a steering method is not adopted. In this paper, we propose a new method for the interactive analysis of in-situ visualization images produced by a batch simulation job. A key idea is to apply numerous (thousands to millions) in-situ visualizations simultaneously. The viewer then analyzes the image database interactively during postprocessing. If each movie can be compressed to 100 MB, one million movies will only require 100 TB, which is smaller than the size of the raw numerical data in exascale supercomputing. We performed a feasibility study using the proposed method. Multiple movie files were produced by a simulation and they were analyzed using a specially designed movie player. The user could change the viewing angle, the visualization method, and the parameters interactively by retrieving an appropriate sequence of images from the movie dataset.
机译:在即将到来的百亿亿次超级计算时代,原位可视化将是减小输出数据大小的关键方法。原位可视化的问题是,如果不采用操纵方法,则会失去交互性。在本文中,我们提出了一种新的方法,用于交互式分析批处理模拟作业生成的原位可视化图像。一个关键的想法是同时应用大量(成千上万)的现场可视化。然后查看者在后处理过程中交互式地分析图像数据库。如果每个电影可以压缩到100 MB,那么一百万个电影将仅需要100 TB,这比百亿亿次超级计算中原始数值数据的大小还小。我们使用提出的方法进行了可行性研究。通过模拟生成多个电影文件,并使用专门设计的电影播放器​​对其进行分析。用户可以通过从电影数据集中检索适当的图像序列来交互地更改视角,可视化方法和参数。

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