Dealing With Big Data Outside Of The Cloud: GPU Accelerated Sort
School of Computing and Communications, Lancaster University
Challenges in the Management of Large Corpora (CMLC-2), 2014
@article{vidler2014dealing,
title={Dealing With Big Data Outside Of The Cloud: GPU Accelerated Sort},
author={Vidler, John and Rayson, Paul and Anthony, Laurence and Scott, Andrew and Mariani, John},
year={2014}
}
The demands placed on systems to analyse corpus data increase with input size, and the traditional approaches to processing this data are increasingly having impractical run-times. We show that the use of desktop GPUs presents a significant opportunity to accelerate a number of stages in the normal corpus analysis pipeline. This paper contains our exploratory work and findings into applying high-performance computing technology and methods to the problem of sorting large numbers of concordance lines.
June 18, 2014 by hgpu
