This work describes an approach for the interactive visual analysis of large-scale simulations, where numerous superlevel set components and their evolution are of primary interest. The approach first derives, at simulation runtime, a specialized Cinema database that consists of images of component groups, and topological abstractions. This database is processed by a novel graph operation-based nested tracking graph algorithm (GO-NTG) that dynamically computes NTGs for component groups based on size, overlap, persistence, and level thresholds. The resulting NTGs are in turn used in a feature-centered visual analytics framework to query specific database elements and update feature parameters, facilitating flexible post hoc analysis.

中文翻译：

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动态嵌套跟踪图。

这项工作描述了一种用于大型仿真的交互式可视化分析的方法，其中许多超高层集组件及其演化是主要关注的问题。该方法首先在仿真运行时派生一个专用的Cinema数据库，该数据库由组件组的图像和拓扑抽象组成。该数据库由新颖的基于图操作的嵌套跟踪图算法（GO-NTG）处理，该算法根据大小，重叠，持久性和级别阈值动态计算组件组的NTG。生成的NTG依次用于以功能为中心的可视化分析框架中，以查询特定的数据库元素并更新功能参数，从而便于进行事后分析。