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Dealing With Big Data Outside Of The Cloud: GPU Accelerated Sort

John Vidler, Paul Rayson, Laurence Anthony, Andrew Scott, John Mariani
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}

}

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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.
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