Graph Visualization Performed by nVidia CUDA Platform
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F14%3A50002857" target="_blank" >RIV/62690094:18450/14:50002857 - isvavai.cz</a>
Result on the web
<a href="http://kicss2014.cs.ucy.ac.cy/files/KICSS2014Proceedings.pdf" target="_blank" >http://kicss2014.cs.ucy.ac.cy/files/KICSS2014Proceedings.pdf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Graph Visualization Performed by nVidia CUDA Platform
Original language description
Graph is way of structured data representation that is used for solving of many today?s practical problems, e.g. bioinformatics, data mining or social networks. Big graphs, however, require high computing power, which current CPUs can?t provide. But GPUis a high performance, extreme optimized, low cost platform. The article deals with Fruchterman-Reingold graph; how its layout algorithm can be parallelized for GPU using nVidia CUDA computing model. A comparison of execution time on CPU and GPU for processing of large randomly generated graphs is presented.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Knowledge, information and creativity support systems (KICSS 2014)
ISBN
978-9963-700-84-4
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
408-414
Publisher name
University of Cyprus
Place of publication
Nicosia
Event location
Limassol
Event date
Nov 6, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—