A. , A. Togo, H. And-traoré, and M. K. , A unifying framework for specifying DEVS parallel and distributed simulation architectures, Simulation, vol.89, issue.11, pp.1293-1309, 2013.

B. P. Zeigler, T. G. Kim, and H. P. , Theory of Modeling and Simulation, 2000.

C. , R. Kofman, E. And-wainer, and G. , A formal framework for stochastic discrete event system specification modeling and simulation, Simulation, vol.86, issue.10, pp.587-611, 2010.

C. , A. C. And-zeigler, and B. P. , Parallel devs: A parallel, hierarchical, modular, modeling formalism, Proceedings of the 26th Conference on Winter Simulation WSC '94, Society for Computer Simulation International, pp.716-722, 1994.

H. , D. R. Mazel, C. Passerat-palmbach, J. And-traore, and M. K. , Distribution of random streams for simulation practitioners, Concurrency and Computation: Practice and Experience, vol.25, pp.10-1427, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01099203

H. , M. And-carnevale, and N. , Discrete event simulation in the NEURON environment, Neurocomputing, vol.5860, issue.0, pp.1117-1122, 2004.

J. , D. Beckman, B. Wieland, F. Blume, L. And et al., Time warp operating system, Proceedings of the Eleventh ACM Symposium on Operating Systems Principles SOSP '87, ACM, pp.77-93, 1987.

M. , R. Affenzeller, M. Prähofer, H. Höfer, G. Fried et al., Devs simulation of spiking neural networks, Cybernetics and Systems: Proceedings EMCSR 2002, pp.573-578, 2002.

M. , P. Arthur, J. Akopyan, F. Imam, N. Manohar et al., A digital neurosynaptic core using embedded crossbar memory with 45pj per spike in 45nm, Custom Integrated Circuits Conference (CICC), pp.2011-2012, 2011.

M. , A. Puzenat, D. And-paugam-moisy, and H. , DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework Computing Research Repository abs, p.51, 2005.

T. , Y. Zhang, B. Wu, J. Hu, T. Zhou et al., Parallel architecture and optimization for discrete-event simulation of spike neural networks, Science China Technological Sciences, vol.56, issue.2, pp.509-517, 2013.

T. , A. Belmabrouk, H. And-martinez, and D. , Event-driven simulations of nonlinear integrate-and-fire neurons, Neural Computation, vol.19, issue.12, pp.3226-3238, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00103500

S. Vahie, Discrete Event Modeling and Simulation Technologies: A Tapestry of Systems and AI-Based Theories and Methodologies, Dynamic Neuronal Ensembles: Neurobiologically Inspired Discrete Event Neural Networks, 2001.

W. , Y. And-zeigler, and B. , Extending the devs formalism for massively parallel simulation, Discrete Event Dynamic Systems, vol.3, pp.2-3, 1993.

Z. , B. P. Nutaro, J. J. And-seo, and C. , What's the best possible speedup achievable in distributed simulation: Amdahl's law reconstructed, Proceedings of the Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium, part of the 2015 Spring Simulation Multiconference, SpringSim '15, pp.189-196, 2015.

Z. , F. And-gerstner, and W. , Limits to high-speed simulations of spiking neural networks using general-purpose computers, Frontiers in Neuroinformatics, vol.8, p.76, 2014.