Spiking neural networks on high performance computer clusters

Chong Chen; Tarek M. Taha

doi:10.1117/12.897269

12 September 2011 Spiking neural networks on high performance computer clusters

Chong Chen, Tarek M. Taha

Proceedings Volume 8134, Optics and Photonics for Information Processing V; 813406 (2011) https://doi.org/10.1117/12.897269
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

In this paper we examine the acceleration of two spiking neural network models on three clusters of multicore processors representing three categories of processors: x86, STI Cell, and NVIDIA GPGPUs. The x86 cluster utilized consists of 352 dualcore AMD Opterons, the Cell cluster consists of 320 Sony Playstation 3s, while the GPGPU cluster contains 32 NVIDIA Tesla S1070 systems. The results indicate that the GPGPU platform can dominate in performance compared to the Cell and x86 platforms examined. From a cost perspective, the GPGPU is more expensive in terms of neuron/s throughput. If the cost of GPGPUs go down in the future, this platform will become very cost effective for these models.

Citation Download Citation

Chong Chen and Tarek M. Taha "Spiking neural networks on high performance computer clusters", Proc. SPIE 8134, Optics and Photonics for Information Processing V, 813406 (12 September 2011); https://doi.org/10.1117/12.897269

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