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Dealing with big data outside of the cloud: GPU accelerated sort

Research output: Contribution to conference Conference paper

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Standard

Dealing with big data outside of the cloud : GPU accelerated sort. / Vidler, John; Rayson, Paul; Anthony, Laurence; Scott, Andrew; Mariani, John.

2014. 21-24 Paper presented at LREC2014 Workshop on Challenges in the Management of Large Corpora (CMLC-2), Reykjavik, Iceland.

Research output: Contribution to conference Conference paper

Harvard

Vidler, J, Rayson, P, Anthony, L, Scott, A & Mariani, J 2014, 'Dealing with big data outside of the cloud: GPU accelerated sort' Paper presented at LREC2014 Workshop on Challenges in the Management of Large Corpora (CMLC-2), Reykjavik, Iceland, 31/05/14, pp. 21-24.

APA

Vidler, J., Rayson, P., Anthony, L., Scott, A., & Mariani, J. (2014). Dealing with big data outside of the cloud: GPU accelerated sort. 21-24. Paper presented at LREC2014 Workshop on Challenges in the Management of Large Corpora (CMLC-2), Reykjavik, Iceland.

Vancouver

Vidler J, Rayson P, Anthony L, Scott A, Mariani J. Dealing with big data outside of the cloud: GPU accelerated sort. 2014. Paper presented at LREC2014 Workshop on Challenges in the Management of Large Corpora (CMLC-2), Reykjavik, Iceland.

Author

Vidler, John; Rayson, Paul; Anthony, Laurence; Scott, Andrew; Mariani, John / Dealing with big data outside of the cloud : GPU accelerated sort.

2014. 21-24 Paper presented at LREC2014 Workshop on Challenges in the Management of Large Corpora (CMLC-2), Reykjavik, Iceland.

Research output: Contribution to conference Conference paper

Bibtex

@conference{cfe9816bc6e94b498439aa60ba14f9c5,
title = "Dealing with big data outside of the cloud: GPU accelerated sort",
keywords = "Very Large Corpora, CONCURRENCY, GPU Computing, High Performance Computing, Concordances, Sorting",
author = "John Vidler and Paul Rayson and Laurence Anthony and Andrew Scott and John Mariani",
year = "2014",
month = "5",
pages = "21--24",

}

RIS

TY - CONF

T1 - Dealing with big data outside of the cloud

T2 - GPU accelerated sort

AU - Vidler,John

AU - Rayson,Paul

AU - Anthony,Laurence

AU - Scott,Andrew

AU - Mariani,John

PY - 2014/5/31

Y1 - 2014/5/31

N2 - 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.

AB - 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.

KW - Very Large Corpora

KW - CONCURRENCY

KW - GPU Computing

KW - High Performance Computing

KW - Concordances

KW - Sorting

M3 - Conference paper

SP - 21

EP - 24

ER -