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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Simulation of Large Spiking Neural Networks on Distributed Architectures, The “DAMNED” Simulator
verfasst von : Anthony Mouraud, Didier Puzenat
Erschienen in: Engineering Applications of Neural Networks
Verlag: Springer Berlin Heidelberg
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This paper presents a spiking neural network simulator suitable for biologically plausible large neural networks, named DAMNED for “Distributed And Multi-threaded Neural Event-Driven”. The simulator is designed to run efficiently on a variety of hardware. DAMNED makes use of multi-threaded programming and non-blocking communications in order to optimize communications and computations overlap. This paper details the even-driven architecture of the simulator. Some original contributions are presented, such as the handling of a distributed virtual clock and an efficient circular event queue taking into account spike propagation delays. DAMNED is evaluated on a cluster of computers for networks from 10
3
to 10
5
neurons. Simulation and network creation speedups are presented. Finally, scalability is discussed regarding number of processors, network size and activity of the simulated NN.