Practical neural network recipes in C++
Practical neural network recipes in C++
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simulation of Spiking Neural Networks on Different Hardware Platforms
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Scalable Parallel Programming with CUDA
Queue - GPU Computing
Multifold Acceleration of Neural Network Computations Using GPU
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Efficient simulation of large-scale spiking neural networks using CUDA graphics processors
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
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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 Mine Hunter 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 Quad Core 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.