Use of CUDA for the Continuous Space Language Model
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}
}
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.
November 16, 2012 by hgpu
