Abstract
The emergence of agent oriented systems has provided an alternative approach to address many complex problems that require distributed behavior, local decisions, and emerging global behavior from the interactions of their basic elements. There are several natural, artificial and social phenomena that present these features. However, despite providing a suitable tool for modeling complex distributed systems, implementations of multi-agent systems are limited by the available hardware architecture. A recent possibility to circumvent this problem is the use of graphics cards to implement such systems. Nevertheless, these devices reach the optimal performance when agents have homogeneous and simple behavior, which might not be the case of many problems. Systems such as simulators of the immune system, in addition to having a large number of agents with complex behavior, those agents communicate massively, indirectly, through dissemination of various substances in their environment. Diffusion of substances is something easily simulated in modern current graphics cards, but the problem is to provide the results of those simulations to thousands (or millions) of agents simultaneously. This paper presents a benchmarking conducted to determine a suitable software/hardware architecture to implement such a system. The results show that a heterogeneous system can have a better performance.
A. de Paiva Oliveira—The author receives grant from capes, process n.0449/15-6.
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This research is supported in part by the funding agencies FAPEMIG, CNPq, and CAPES.
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Martins, F.R., de Paiva Oliveira, A., Ferreira, R.S., Cerqueira, F.R. (2016). Hardware Architecture Benchmarking for Simulation of Human Immune System by Multi-agent Systems. In: Rovatsos, M., Vouros, G., Julian, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015 2015. Lecture Notes in Computer Science(), vol 9571. Springer, Cham. https://doi.org/10.1007/978-3-319-33509-4_34
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DOI: https://doi.org/10.1007/978-3-319-33509-4_34
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