Use of CUDA for the Continuous Space Language Model
Proceedings of the 2012 IEEE High Performance Extreme Computing Conference (HPEC)
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.
Algorithm design and analysis, Computer architecture, Graphics processing units, Instruction sets, Kerne, l Libraries, Training
Elizabeth A. Thompson and Timothy Anderson (2012).
Use of CUDA for the Continuous Space Language Model. Presented at Proceedings of the 2012 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA.