OpenCL for Large-Scale Agent-Based Simulations

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

OpenCL for Large-Scale Agent-Based Simulations

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

OpenCL for Large-Scale Agent-Based Simulations

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Computational Collective Intelligence. ICCCI 2017.

ISBN

978-3-319-67073-7

ISSN

0302-9743

e-ISSN

neuvedeno

Počet stran výsledku

10

Strana od-do

351-360

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Cyprus

Datum konání akce

27. 9. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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