Visualization of Large Graphs Using GPU Computing

T. Ježowicz, M. Kudelka, J. Platoš, V. Snás̃el
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引用次数: 10

Abstract

Graphs may be used to visualize relationships between objects. Relations are represented by edges and objects are called nodes. When graph is drawn, one can easily see and understand the basic structure of data. Many different applications can be found in social network analysis, computer networks, scientific literature analysis, etc. However drawing large graphs (thousands or a millions of nodes), is still challenging problem. There exist many different algorithms for drawing graphs. Each algorithm has specific behavior and different applications and limits. Some algorithms are focused on quality while others are more suitable for large graphs. This paper aims to speed up the computation using GPU, so larger graphs can be visualized in acceptable time, or visualization can be done even in real-time.
使用GPU计算实现大图形的可视化
图形可以用来可视化对象之间的关系。关系由边表示,对象称为节点。当绘制图形时,人们可以很容易地看到和理解数据的基本结构。许多不同的应用可以在社会网络分析,计算机网络,科学文献分析等中找到。然而,绘制大型图(数千或数百万个节点)仍然是一个具有挑战性的问题。存在许多不同的绘图算法。每种算法都有特定的行为和不同的应用和限制。一些算法专注于质量,而另一些算法更适合于大型图。本文旨在利用GPU加快计算速度,使更大的图形可以在可接受的时间内可视化,甚至可以实时可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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