Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
493920 | Swarm and Evolutionary Computation | 2016 | 8 Pages |
Abstract
Graphs in computer science are widely used in social network analysis, computer networks, transportation networks, and many other areas. In general, they can visualize relationships between objects. However, fast drawing of graphs and other structures containing large numbers of data points with readable layouts is still a challenge. This paper describes a novel variant of the Fruchterman–Reingold graph layout algorithm which is adapted to GPU parallel architecture. A new approach based on space-filling curves and a new way of repulsive forces computation on GPU are described. The paper contains both performance and quality tests of the new algorithm.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Petr Gajdoš, Tomáš Ježowicz, Vojtěch Uher, Pavel Dohnálek,