nach oben

Erschienen in:

2016 | OriginalPaper | Buchkapitel

Overview of Case Studies on Adapting MABS Models to GPU Programming

verfasst von : Emmanuel Hermellin, Fabien Michel

Erschienen in: Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

General-Purpose Computing on Graphics Units (GPGPU) is today recognized as a practical and efficient way of accelerating software procedures that require a lot of computing resources. However, using this technology in the context of Multi-Agent Based Simulation (MABS) appears to be difficult because GPGPU relies on a very specific programming approach for which MABS models are not naturally adapted. This paper discusses practical results from several works we have done on adapting and developing different MABS models using GPU programming. Especially, studying how GPGPU could be used in the scope of MABS, our main motivation is not only to speed up MABS but also to provide the MABS community with a general approach to GPU programming, which could be used on a wide variety of agent-based models. So, this paper first summarizes all the use cases that we have considered so far and then focuses on identifying which parts of the development process could be generalized.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Using DES/ABS Approach to Model and Simulate Bus Assembling Process

Nächstes Kapitel Holonic Multiagent Simulation of Complex Adaptive Systems

e.g. https://developer.nvidia.com/about-cuda.

Compute Unified Device Architecture, https://developer.nvidia.com/what-cuda.

Open Computing Language, http://www.khronos.org/opencl.

See http://www.lirmm.fr/~fmichel/mle for some videos of this experiment.

In all these experiments, the environment is as a 2D square grid discretized in cells.

See www.lirmm.fr/~hermellin/Website/Reynolds_Boids_With_TurtleKit.html.

Detailed descriptions and computation kernels are available online: http://www.lirmm.fr/~hermellin/Website/GPGPU_MABS_Methodology.html.

Weyns, D., Michel, F. (eds.): E4MAS 2014. LNCS (LNAI), vol. 9068. Springer, Heidelberg (2015)

Badeig, F., Balbo, F., Pinson, S.: A contextual environment approach for multi-agent-based simulation. In: ICAART 2010, 2nd International Conference on Agents and Artificial Intelligence, pp. 212–217, Spain, June 2010

Beurier, G., Simonin, O., Ferber, J.: Model and simulation of multi-level emergence. In: ISSPIT 2002, April 2008

Bleiweiss, A.: Multi agent navigation on the GPU. In: Games Developpement Conference (2009)

Bourgoin, M., Chailloux, E., Lamotte, J.-L.: Efficient abstractions for GPGPU programming. Int. J. Parallel Program. 42(4), 583–600 (2014)CrossRef

Che, S., Boyer, M., Meng, J., Tarjan, D., Sheaffer, J.W., Skadron, K.: A performance study of general-purpose applications on graphics processors using CUDA. J. Parallel Distrib. Comput. 68(10), 1370–1380 (2008)CrossRef

D’Souza, R.M., Lysenko, M., Rahmani, K.: SugarScape on steroids: simulating over a million agents atinteractive rates. In: Proceedings of Agent 2007 Conference (2007)

Erra, U., Frola, B., Scarano, V., Couzin, I.: An efficient GPU implementation for large scale individual-based simulation of collective behavior. High Perform. Comput. Syst. Biol. 2009, 51–58 (2009)

Hermellin, E., Michel, F.: GPU environmental delegation of agent perceptions: application to reynolds’ s boids. In: Gaudou, B., et al. (eds.) MABS 2015. LNCS, vol. 9568, pp. 71–86. Springer, Heidelberg (2016)CrossRef

10.

Hermellin, E., Michel, F.: Toward a methodology for developing MABS using GPU programming. In: Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, AAMAS, Singapore (2016)

11.

Kubera, Y., Mathieu, P., Picault, S.: IODA: an interaction-oriented approach for multi-agent based simulations. Auton. Agent Multi-Agent Syst. 23(3), 303–343 (2011)CrossRef

12.

Laville, G., Mazouzi, K., Lang, C., Marilleau, N., Herrmann, B., Philippe, L.: MCMAS: A toolkit to benefit from many-core architecure in agent-based simulation. In: an Mey, D., et al. (eds.) Euro-Par 2013. LNCS, vol. 8374, pp. 544–554. Springer, Heidelberg (2014)CrossRef

13.

Laville, G., Mazouzi, K., Lang, C., Marilleau, N., Philippe, L.: Using GPU for multi-agent multi-scale simulations. In: Omatu, S., Paz Santana, J.F., González, S.R., Molina, J.M., Bernardos, A.M., Rodríguez, J.M.C. (eds.) Distributed Computing and Artificial Intelligence. AISC, vol. 151, pp. 197–204. Springer, Heidelberg (2012)CrossRef

14.

Michel, F.: Translating agent perception computations into environmental processes in multi-agent-based simulations: a means for integrating graphics processing unit programming within usual agent-based simulation platforms. Syst. Res. Behav. Sci. 30(6), 703–715 (2013)CrossRef

15.

Michel, F., Ferber, J., Drogoul, A.: Multi-agent systems and simulation: a survey from theagents community’s perspective. In: Uhrmacher, A., Weyns, D., (eds.) Multi-Agent Systems: Simulation and Applications, Computational Analysis, Synthesis, and Design of Dynamic Systems, pp. 3–52. CRC Press - Taylor & Francis, June 2009

16.

Owens, J.D., Luebke, D., Govindaraju, N., Harris, M., Kruger, J., Lefohn, A.E., Purcell, T.J.: A survey of general-purpose computation on graphics hardware. Comput. Graph. Forum 26(1), 80–113 (2007)CrossRef

17.

Parry, H., Bithell, M.: Large scale agent-based modelling: a review and guidelines for model scaling. In: Heppenstall, A.J., Crooks, A.T., See, L.M., Batty, M. (eds.) Agent-Based Models of Geographical Systems, pp. 271–308. Springer, Heidelberg (2012)CrossRef

18.

Pavlov, R., Müller, J.P.: Multi-agent systems meet GPU: deploying agent-based architectures on graphics processors. In: Camarinha-Matos, L.M., Tomic, S., Graça, P. (eds.) DoCEIS 2013. IFIP AICT, vol. 394, pp. 115–122. Springer, Heidelberg (2013)CrossRef

19.

Payet, D., Courdier, R., Sébastien, N., Ralambondrainy, T.: Environment as support for simplification, reuse and integration of processes in spatial MAS. In: Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration - Heuristic Systems Engineering, 16–18 September, Waikoloa, Hawaii, USA, pp. 127–131. IEEE Systems, Man, and Cybernetics Society (2006)

20.

Perumalla, K.S., Aaby, B.G.: Data parallel execution challenges and runtime performance of agent simulations on GPUs. In: Proceedings of the 2008 Spring Simulation Multiconference, pp. 116–123 (2008)

21.

Ricci, A., Piunti, M., Viroli, M.: Environment programming in multi-agent systems: an artifact-based perspective. Auton. Agent Multi-Agent Syst. 23(2), 158–192 (2011)CrossRef

22.

Richmond, P., Coakley, S., Romano, D.M.: A high performance agent based modelling framework on graphics card hardware with CUDA. In: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2009, vol. 2, pp. 1125–1126. International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC (2009)

23.

Richmond, P., Romano, D.M.: Agent based GPU, a real-time 3d simulation and interactive visualisation framework for massive agent based modelling on the GPU. In: Proceedings International Workshop on Super Visualisation, IWSV 2008 (2008)

24.

Richmond, P., Romano, D.M.: A high performance framework for agent based pedestrian dynamics on GPU hardware. In: European Simulation and Modelling (2011)

25.

Richmond, P., Walker, D., Coakley, S., Romano, D.M.: High performance cellular level agent-based simulation with FLAME for the GPU. Briefings Bioinform. 11(3), 334–347 (2010)CrossRef

26.

Sklar, E.: NetLogo, a multi-agent simulation environment. Artif. Life 13(3), 303–311 (2007)CrossRef

27.

Strippgen, D., Nagel, K.: Multi-agent traffic simulation with CUDA. In: High Performance Computing Simulation, HPCS 2009, pp. 106–114, June 2009

28.

Weyns, D., Van Dyke Parunak, H., Michel, F., Holvoet, T., Ferber, J.: Environments for multiagent systems state-of-the-art and research challenges. In: Weyns, D., Van Dyke Parunak, H., Michel, F. (eds.) E4MAS 2004. LNCS (LNAI), vol. 3374, pp. 1–47. Springer, Heidelberg (2005)CrossRef

Titel: Overview of Case Studies on Adapting MABS Models to GPU Programming
verfasst von: Emmanuel Hermellin
Fabien Michel
Verlag: Springer International Publishing
Buch: Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection
Print ISBN: 978-3-319-39386-5

Electronic ISBN: 978-3-319-39387-2

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-39387-2_11

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner