8509

Use of CUDA for the Continuous Space Language Model

Elizabeth A. Thompson, Timothy Anderson
Department of Engineering, Purdue University, Fort Wayne, IN USA
IEEE High Performance Extreme Computing Conference(HPEC ’12), 2012

@article{thompson2012use,

   title={USE OF CUDA FOR THE CONTINUOUS SPACE LANGUAGE MODEL},

   author={Thompson, E.A. and Anderson, T.},

   year={2012}

}

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The training phase of the Continuous Space Language Model (CSLM) was implemented in the NVIDIA hardware/software architecture Compute Unified Device Architecture (CUDA). Implementation was accomplished using a combination of CUBLAS library routines and CUDA kernel calls on three different CUDA enabled devices of varying compute capability and a time savings over the traditional CPU approach demonstrated.
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