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Using GPUs for Machine Learning Algorithms

Dave Steinkrau, Patrice Y. Simard, Ian Buck
Microsoft Research, Redmond, WA, USA
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on In ICDAR ’05: Proceedings of the Eighth International Conference on Document Analysis and Recognition (2005), pp. 1115-1119.

@conference{steinkraus2006using,

   title={Using GPUs for machine learning algorithms},

   author={Steinkraus, D. and Buck, I. and Simard, PY},

   booktitle={Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on},

   pages={1115–1120},

   isbn={0769524206},

   year={2006},

   organization={IEEE}

}

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Using dedicated hardware to do machine learning typically ends up in disaster because of cost, obsolescence, and poor software. The popularization of Graphic Processing Units (GPUs), which are now available on every PC, provides an attractive alternative. We propose a generic 2-layer fully connected neural network GPU implementation which yields over 3X speedup for both training and testing with respect to a 3GHz P4 CPU.
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