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<identifier>oai:HAL:hal-01437753v1</identifier>
<datestamp>2018-01-11</datestamp>
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<title lang=en>Simulation of Large Spiking Neural Networks on Distributed Architectures, The "DAMNED" Simulator</title>
<creator>Mouraud, Anthony</creator>
<creator>Puzenat, Didier</creator>
<contributor>Data Mining and Machine Learning (DM2L) ; Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS) ; Institut National des Sciences Appliquées de Lyon (INSA Lyon) - Centre National de la Recherche Scientifique (CNRS) - Université Claude Bernard Lyon 1 (UCBL) - École Centrale de Lyon (ECL) - Université Lumière - Lyon 2 (UL2) - Institut National des Sciences Appliquées de Lyon (INSA Lyon) - Centre National de la Recherche Scientifique (CNRS) - Université Claude Bernard Lyon 1 (UCBL) - École Centrale de Lyon (ECL) - Université Lumière - Lyon 2 (UL2)</contributor>
<contributor>Groupe de Recherche en Informatique et Mathématiques Appliquées Antilles-Guyane (GRIMAAG) ; Université des Antilles et de la Guyane (UAG)</contributor>
<description>International audience</description>
<source>Engineering Applications of Neural Networks: 11th International Conference, EANN 2009</source>
<coverage>London, United Kingdom</coverage>
<contributor>Palmer-Brown, D. and Draganova, C. and Pimenidis, E. and Mouratidis, H.</contributor>
<publisher>Springer</publisher>
<identifier>hal-01437753</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01437753</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01437753</source>
<source>Palmer-Brown, D. and Draganova, C. and Pimenidis, E. and Mouratidis, H. Engineering Applications of Neural Networks: 11th International Conference, EANN 2009, Aug 2009, London, United Kingdom. Springer, pp.359-370, 2009, 〈10.1007/978-3-642-03969-0_33〉</source>
<identifier>DOI : 10.1007/978-3-642-03969-0_33</identifier>
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<language>en</language>
<subject>[INFO] Computer Science [cs]</subject>
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<type>Conference papers</type>
<description lang=en>This paper presents a spiking neural network simulator suitablefor biologically plausible large neural networks, named DAMNEDfor “Distributed And Multi-threaded Neural Event-Driven”. The simulatoris designed to run efficiently on a variety of hardware. DAMNEDmakes use of multi-threaded programming and non-blocking communicationsin order to optimize communications and computations overlap.This paper details the even-driven architecture of the simulator. Someoriginal contributions are presented, such as the handling of a distributedvirtual clock and an efficient circular event queue taking into accountspike propagation delays. DAMNED is evaluated on a cluster of computersfor networks from 103 to 105 neurons. Simulation and networkcreation speedups are presented. Finally, scalability is discussed regardingnumber of processors, network size and activity of the simulated NN.</description>
<date>2009-08-27</date>
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