Shenghui Cheng

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Torus networks are widely used in supercomputing. However, due to their complex topology and their large number of nodes, it is difficult for analysts to perceive the messages flow in these networks. We propose a visualization framework called TorusVis<sup>ND</sup> that uses modern information visualization techniques to allow analysts to see the network(More)
Numerous methods have been described that allow the visualization of the data matrix. But all suffer from a common problem - observing the data points in the context of the attributes is either impossible or inaccurate. We describe a method that allows these types of comprehensive layouts. We achieve it by combining two similarity matrices typically used in(More)
Contextual layouts preserve the context of the data with the associated attributes (variables). However, their linear mapping causes errors in the layout – similar data points and variable nodes may not map to similar regions, and vice versa. In this paper, we first unify the various data layout schemes and choose the Generalized Barycentric Coordinates(More)
Parallel coordinates, an important tool for multidimensional data visualization. The property axes of the traditional parallel coordinates are of equal length, which are restricted in many ways. This paper presents a parameterized parallel coordinates method by adjusting the parameters get by function to control the length of different axis. When the axial(More)
A concept of shape coordinates system for visualization of data set is proposed in this paper. First, the visualization data set, visualization graphics, visualization process and visualization space are defined. Then, the definition, mapping, operation, theorems, properties and algorithms of shape coordinates system are described. Finally an example to(More)
In streaming acquisitions the data changes over time. ThemeRiver and line charts are common methods to display data over time. However, these methods can only show the values of the variables (or attributes) but not the relationships among them over time. We propose a framework we call StreamVis that can display these types of streaming data relations. It(More)
The growth of digital data is tremendous. Any aspect of life and matter is being recorded and stored on cheap disks, either in the cloud, in businesses, or in research labs. We can now afford to explore very complex relationships with many variables playing a part. But for this we need powerful tools that allow us to be creative, to sculpt this intricate(More)
Our paper describes a framework that aids users in the creation of data visualizations augmented with chart junk. Chart junk refers to graphical decorations that are irrelevant to the data, but are meant to make the data graphics more interesting, giving rise to visualizations with low data-to-ink ratios. While outcast at first, recent studies have shown(More)
Torus networks are widely used in supercomputing. However, due to their complex topology and their large number of nodes, it is difficult for analysts to perceive the messages flow in these networks. We propose a visualization framework called TorusVis that uses modern information visualization techniques to allow analysts to see the network and its(More)
A wide variety of color schemes have been devised for mapping scalar data to color. Some use the data value to index a color scale. Others assign colors to different, usually blended disjoint materials, to handle areas where materials overlap. A number of methods can map low-dimensional data to color, however, these methods do not scale to higher(More)