OpenCL for Large-Scale Agent-Based Simulations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50013447" target="_blank" >RIV/62690094:18450/17:50013447 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-67074-4_34" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-67074-4_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-67074-4_34" target="_blank" >10.1007/978-3-319-67074-4_34</a>
Alternative languages
Result language
angličtina
Original language name
OpenCL for Large-Scale Agent-Based Simulations
Original language description
NetLogo is a Java-based multi-agent programmable modeling environment. Our aim is to improve the execution speed of NetLogo models with large number of agents by means of heterogeneous computing. Firstly, we describe OpenCL as a suitable computing platform. Then we propose a new NetLogo-to-OpenCL extension (NL2OCL) which encapsulates functionality of OpenCL and enables NetLogo to undertake agents’ computations simultaneously on graphic processor units. The architecture of our extension is presented. An experimental flocking model with 40,000 agents is used for evaluation of NL2OCL functioning. When using NL2OCL the simulation runs more than 300- times faster than the original model which was created in NetLogo solely. It means that with NL2OLC, drawbacks in maximum size of the NetLogo model and the simulation speed are tackled. Our approach allows using standard PC configurations with suitable graphical cards for large agent-based simulations while preserving advantages of NetLogo. It is a good alternative for researchers who cannot afford high performance coputational systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Collective Intelligence. ICCCI 2017.
ISBN
978-3-319-67073-7
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
351-360
Publisher name
Springer
Place of publication
Cham
Event location
Cyprus
Event date
Sep 27, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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