research-article

Consistently GPU-Accelerated Graph Visualization

Authors:

Alexandros Panagiotidis,

Tilo Pfannkuch,

Thomas ErtlAuthors Info & Claims

VINCI '15: Proceedings of the 8th International Symposium on Visual Information Communication and Interaction

Pages 35 - 41

https://doi.org/10.1145/2801040.2801053

Published: 24 August 2015 Publication History

Abstract

Graph visualization is essential for the analysis of networks and relational data sets. Often, most of the effort is expended on computing sophisticated layouts of the visual representation of the graph. Even though this is increasingly accelerated by use of graphics processing units (GPUs), the rendering is often considered as circumstantial. In this paper, we present a coherent approach to graph visualization that utilizes all features of modern GPUs. We describe specialized data structures and our GPU-centric pipeline for computing and rendering a layout, while enabling steering and interaction. We evaluate technical aspects of our approach as well as its applicability to huge real-world graphs.

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Cited By

Zellmann SWeier MWald I(2020)Accelerating Force-Directed Graph Drawing with RT Cores2020 IEEE Visualization Conference (VIS)10.1109/VIS47514.2020.00026(96-100)Online publication date: Oct-2020
https://doi.org/10.1109/VIS47514.2020.00026
Li RSong SWu QJohn L(2020)Accelerating Force-directed Graph Layout with Processing-in-Memory Architecture2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC)10.1109/HiPC50609.2020.00041(271-282)Online publication date: Dec-2020
https://doi.org/10.1109/HiPC50609.2020.00041
Abello JHohman FBezzam VChau DFu WPan SBrdiczka OChau PCalvary G(2019)AtlasProceedings of the 24th International Conference on Intelligent User Interfaces10.1145/3301275.3302275(165-176)Online publication date: 17-Mar-2019
https://dl.acm.org/doi/10.1145/3301275.3302275
Show More Cited By

Consistently GPU-Accelerated Graph Visualization
1. Computing methodologies
  1. Computer graphics

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cover image ACM Other conferences

VINCI '15: Proceedings of the 8th International Symposium on Visual Information Communication and Interaction

August 2015

185 pages

ISBN:9781450334822

DOI:10.1145/2801040

General Chair:
Takayuki Itoh,
Program Chairs:
Paolo Bottoni,
Shigeo Takahashi

Copyright © 2015 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 August 2015

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VINCI '15

VINCI '15: The 8th International Symposium on Visual Information Communication and Interaction

August 24 - 26, 2015

AA, Tokyo, Japan

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VINCI '15 Paper Acceptance Rate 12 of 32 submissions, 38%;

Overall Acceptance Rate 71 of 193 submissions, 37%

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Cited By

Zellmann SWeier MWald I(2020)Accelerating Force-Directed Graph Drawing with RT Cores2020 IEEE Visualization Conference (VIS)10.1109/VIS47514.2020.00026(96-100)Online publication date: Oct-2020
https://doi.org/10.1109/VIS47514.2020.00026
Li RSong SWu QJohn L(2020)Accelerating Force-directed Graph Layout with Processing-in-Memory Architecture2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC)10.1109/HiPC50609.2020.00041(271-282)Online publication date: Dec-2020
https://doi.org/10.1109/HiPC50609.2020.00041
Abello JHohman FBezzam VChau DFu WPan SBrdiczka OChau PCalvary G(2019)AtlasProceedings of the 24th International Conference on Intelligent User Interfaces10.1145/3301275.3302275(165-176)Online publication date: 17-Mar-2019
https://dl.acm.org/doi/10.1145/3301275.3302275
Cela ALee YHong SAbramson D(2018)Resource provisioning for memory intensive graph processingProceedings of the Australasian Computer Science Week Multiconference10.1145/3167918.3167948(1-7)Online publication date: 29-Jan-2018
https://dl.acm.org/doi/10.1145/3167918.3167948

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