Abstract
Multi‐agent‐based simulations (MABS) relies on modelling the behavior of individual entities and their interactions in a virtual environment. Nowadays, MABS are used for studying various complex systems such as crowds, animal societies, ecosystems, traffic behaviors or the Market. So MABS are experimental research tools that contribute to our understanding of the mechanisms embedded in these complex systems. Still, studying some complex systems may require to consider millions of individuals. In such a case, the computing resources, which are required, represent a major obstacle for MABS end‐users. In this respect, general‐purpose computing on graphics processing units (GPGPU) is a relevant approach for addressing performance and scalability issues. However, GPU programming requires expert skills, which strongly limits both the accessibility and the re‐usability of the frameworks developed using GPGPU. This paper presents MABS design guideline, dedicated to the GPU context, which allows the use of the GPU power without sacrificing the accessibility of MABS frameworks. Copyright © 2013 John Wiley & Sons, Ltd.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
