9621

Artificial Neural Network Simulation on CUDA

John Pendlebury, Huanhuan Xiong, Ray Walshe
CloudCore Research Group, School of Computing, Dublin City University, Dublin, Ireland
The 16th IEEE/ACM International Symposium onDistributed Simulation and Real Time Applications (DS-RT ’12), 2012
@inproceedings{pendlebury2012artificial,

   title={Artificial Neural Network Simulation on CUDA},

   author={Pendlebury, John and Xiong, Huanhuan and Walshe, Ray},

   booktitle={Proceedings of the 2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications},

   pages={228–233},

   year={2012},

   organization={IEEE Computer Society}

}

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The advent of low cost GPU hardware and user friendly parallel programming APIs, such as NVIDIA CUDA means that affordable, programmable, high-performance computing environments for simulation are now attainable for development of scientific simulations. In this paper the authors present the MineHunter program, a parallel simulation of neural networks on NVIDIA CUDA. The simulation consists of 128 mine hunters in a mine field of 8192 mines, running on an Intel QuadCore i5-2500 3.3GHz 2 x Nvidia GeForce GTX 480. The results presented demonstrate that CUDA improves performance by up to 80% compared with the equivalent CPU implementation.
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