Visualization of large graphs using GPU computing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088854" target="_blank" >RIV/61989100:27240/13:86088854 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6630509&tag=1" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6630509&tag=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INCoS.2013.126" target="_blank" >10.1109/INCoS.2013.126</a>
Alternative languages
Result language
angličtina
Original language name
Visualization of large graphs using GPU computing
Original language description
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 hasspecific 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - 5th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2013
ISBN
978-0-7695-4988-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
662-667
Publisher name
IEEE
Place of publication
Danvers
Event location
Xi'an
Event date
Sep 9, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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