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Optimized Simulation Framework for Spiking Neural Networks using GPU'sMIRSU, R. , MICUT, S. , CALEANU, C. , MIRSU, D. B.
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artificial intelligence, biological neural networks, GPU computing, parallel processing, spiking neural networks
neural(15), spiking(12), networks(10), neurons(7), model(7), tiponut(4), network(4), mirsu(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 61 - 68
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02011
Web of Science Accession Number: 000305608000011
SCOPUS ID: 84865306303
This paper presents a hardware accelerated model of a spiking neural network implemented in CUDA C. It does a short description of the mathematical model for the neural network and presents the implementation on the GPU. Additionally, it presents three methods of further accelerating the model by eliminating excess kernel launch overhead time, efficiently using shared memory and overlapping computation with data transfer. Finally, the implementation is benchmarked against an existing C++ equivalent model.
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| M.A. Bhuiyan, V. K. Pallipuram, M.C. Smith, "Acceleration of spiking neural networks in emerging multi-core and GPU architectures", IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 |
[CrossRef] [SCOPUS Times Cited 47]
 R Mirsu, C. Caleanu, V. Tiponut, "GPU accelerated model for liquid state machine based on spiking neurons", 17th International Conference on Soft Computing (MENDEL), Brno, Czech Rep, 2011.
 J. M. Nageswaran, N. Dutt, J. L. Krichmar, A. Nicolau, A.V. Veidenbaum, "A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors," Special issue of Neural Network, Elsevier, vol.22, no. 5-6, pp. 791-800, July 2009 [PubMed]
 M. A. Bhuiyan, T. M. Taha, R. Jalasutram, "Character recognition with two spiking neural network models on multi-core architectures," in IEEE Proc. CIMSVP, TN, pp. 29 - 34, Mar. 2009.
 M. Herlihy, N. Shavit, The Art of Multiprocessor Programming Morgan Kaufmann, Burlington, MA, 2010.
 NVIDIA CUDATM. NVIDIA CUDA C Programming Guide 3.1.1. 2010.
 D. Kirk, W. Hwu, Programming Massively Parallel Processors Morgan Kaufmann, Burlington, MA, 2010.
 R. Ananthanarayanan, D. Modha, "Anatomy of a cortical simulator", Proc. Intl Conference for High Performance Computing, Networking, Storage and Analysis, Nov. 2007, pp. 1-12.
 W. Gerstner, W. Kistler, Spiking Neuron Models, Cambridge University Press, 2002.
 E.M. Izhikevich, "Simple model of spiking neurons", IEEE Transactions on Neural Networks, Vol.14, No.6, 2003, pp. 1569-1572
[CrossRef] [PubMed] [Web of Science Times Cited 2405] [SCOPUS Times Cited 2695]
 E.M. Izhikevich, "Resonate and fire neurons", Neural Networks 14, pp. 883-894, 2001
[CrossRef] [Web of Science Times Cited 311] [SCOPUS Times Cited 338]
 E.M. Izhikevich, "Which model to use for cortical neurons?", IEEE Transactions on Neural Networks (Special Issue on Temporal Coding), 2004
[CrossRef] [Web of Science Times Cited 1418] [SCOPUS Times Cited 1564]
 W. Maass, "Networks of spiking neurons: The third generation of neural network models", Neural Networks, Vol. 10, No.9, pp. 1659-1671, 1997
[CrossRef] [Web of Science Times Cited 1268] [SCOPUS Times Cited 1437]
 L. F. Abbott, T. B. Kepler, "Model neurons: from Hodgkin-Huxley to Hopfield", Editor: Luis Garrido, Lecture Notes in Physics, vol. 368, p.5-18, 1990
 I. Bogdanov, R. Mirsu, V. Tiponut, "MATLAB model for spiking neural networks", Proc. of the 13th WSEAS International Conference on Systems, Rhodes, Greece, 23-25 July, 2009, pp. 533-537.
 R. Mirsu, V. Tiponut, I. Gavrilut, "Storing information with spiking neural networks", Proc. of the 13th WSEAS International Conference on Computers, Rhodes, Greece, 23-25 July 2009, pp. 318-322.
 S. Wills, Computation with Spiking Neurons, PhD Dissertation, University of Cambridge, 2004.
 R. Mirsu, V. Tiponut, "Parallel model for spiking neural networks using MATLAB", 9th International Symposium on Electronics and Telecommunications (ISETC), Timisoara, Romania, 2010, pp. 369-372
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 4]
 W. Maass, T. Natschlager, H. Markram, "Real-Time Computing without stable states: A new Framework for Neural Computation based on Perturbation", Neural Computation, Vol. 14, No. 11, Pages 2531-2560, Nov. 2002
[CrossRef] [PubMed] [Web of Science Times Cited 1889] [SCOPUS Times Cited 2101]
 J. Kamarainen, V. Kyrki, H. Kalviainen, M. Hamouz, J. Kittler," Invariant Gabor features for face evidence extraction", Proceedings of the IAPR Workshop on Machine Vision Applications, Nara, Japan, 2002, pp. 228-231.
 O. Ayinde, Y .Yang, "Face recognition approach based on rank correlation of Gabor-filtered images", Pattern Recognition, vol. 35(6), pp. 1275-1289, 2002
[CrossRef] [Web of Science Times Cited 69] [SCOPUS Times Cited 86]
 V. Kyrki, J. Kamarainen, H. Kalviainen, "Content based image matching using Gabor filtering", Proceedings of the Int. Conf. on Advanced Concepts for Intelligent Vision Systems Theory and Applications, Baden-Baden, Germany, 2001, pp. 45-49.
 D. Martinez, E. Hugues, "A spiking neural network model of the locust antennal lobe: Towards neuromorphic electronic noses inspired from insect olfaction", Proceedings of the NATO Advance Research Workshop on Electronic Noses & Sensors for Detection of Explosives, Warwick, Coventry, U.K., 2003, pp. 209-234.
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