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Three Applications of GPU Computing in Neuroscience
May/June 2012 (vol. 14 no. 3)
pp. 40-47
Javier Baladron, NeuroMathComp Project Team, INRIA
Diego Fasoli, NeuroMathComp Project Team, INRIA
Olivier Faugeras, NeuroMathComp Project Team, INRIA

Three scenarios outlined here show the benefits of using a computer system with multiple GPUs in theoretical neuroscience. In each instance, it's clear that the GPU speedup considerably helps answer a scientific or technological question.

1. R. Ananthanarayanan and D.S. Modha, "Anatomy of a Cortical Simulator," Proc. 2007 ACM/IEEE Conf. Supercomputing, ACM, 2007; doi:10.1145/1362622.1362627.
2. H.E. Plesser et al., Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers, LNCS 4641, Springer, 2007, pp. 672–681.
3. M. Hines and N. Carnevale, "Translating Network Models to Parallel Hardware in Neuron," J. Neuroscience Methods, vol. 169, no. 2, 2008, pp. 425–455.
4. F. Bernhard and R. Keriven, Spiking Neurons on GPUs, LNCS 3994, Springer, 2006, pp. 236–243.
5. J.M. Nageswaran et al., "Efficient Simulation of Large-Scale Spiking Neural Networks Using CUDA Graphics Processors," Proc. Int'l Joint Conf. Neural Networks, IEEE Press, 2009, pp. 3201–3208.
6. M.A. Bhuiyan, V.K. Pallipuram, and M.C. Smith, "Acceleration of Spiking Neural Networks in Emerging Multi-Core and GPU Architectures," Proc. 10th IEEE Int'l Workshop on High-Performance Computational Biology, IEEE Press, 2010; 10.1109/IPDPSW.2010.5470899.
7. H. Wilson and J. Cowan, "A Mathematical Theory of the Functional Dynamics of Cortical and Thalamic Nervous Tissue," Biological Cybernetics, vol. 13, no. 2, 1973, pp. 55–80.
8. P.C. Bressloff et al., "Geometric Visual Hallucinations, Euclidean Symmetry and the Functional Architecture of Striate Cortex," Philosophical Trans. Royal Soc. London B, vol. 356, no. 1407, 2001, pp. 299–330.
9. O. Shriki, D. Hansel, and H. Sompolinsky, "Rate Models for Conductance-Based Cortical Neuronal Networks," Neural Computation, vol. 15, no. 8, 2003, pp. 1809–1841.
10. A. Ecker et al., "Decorrelated Neuronal Firing in Cortical Microcircuits," Science, vol. 327, no. 5965, 2010, pp. 584–587.
11. X. Mao, Stochastic Differential Equations and Applications, Woodhead Publishing, 2nd ed., 2007.

Index Terms:
Computational neuroscience, parallel and vector implementations, GPUs, scientific computing
Citation:
Javier Baladron, Diego Fasoli, Olivier Faugeras, "Three Applications of GPU Computing in Neuroscience," Computing in Science and Engineering, vol. 14, no. 3, pp. 40-47, May-June 2012, doi:10.1109/MCSE.2011.119
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