@inbook{d51633c38a404325b4021ab90a1a7b59,
title = "Artificial neural network simulation on CUDA",
abstract = "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.",
keywords = "CUDA, GPU, Neural-Networks, Simulation",
author = "John Pendlebury and Huanhuan Xiong and Ray Walshe",
year = "2012",
doi = "10.1109/DS-RT.2012.40",
language = "English",
isbn = "9780769548463",
series = "Proceedings - IEEE International Symposium on Distributed Simulation and Real-Time Applications, DS-RT",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "228--233",
booktitle = "Proceedings - 2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2012",
address = "United States",
note = "2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2012 ; Conference date: 25-10-2012 Through 27-10-2012",
}