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Solutions For Optimizing The Data Parallel Prefix Sum Algorithm Using The Compute Unified Device Architecture

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Author Info

  • Ion Lungu

    ()
    (Academy of Economic Studies Bucharest)

  • Dana-Mihaela Petroşanu

    ()
    (University Politehnica of Bucharest)

  • Alexandru Pîrjan

    ()
    (Romanian-American University Bucharest)

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    Abstract

    In this paper, we analyze solutions for optimizing the data parallel prefix sum function using the Compute Unified Device Architecture (CUDA) that provides a viable solution for accelerating a broad class of applications. The parallel prefix sum function is an essential building block for many data mining algorithms, and therefore its optimization facilitates the whole data mining process. Finally, we benchmark and evaluate the performance of the optimized parallel prefix sum building block in CUDA.

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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI11-2/JISOM-WI11-2-A5.pdf
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    Bibliographic Info

    Article provided by Romanian-American University in its journal Journal of Information Systems and Operations Management.

    Volume (Year): 5 (2011)
    Issue (Month): 2.1 (December)
    Pages: 465-477

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    Handle: RePEc:rau:journl:v:5:y:2011:i:2.1:p:465-477

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    Related research

    Keywords: CUDA; threads; GPGPU; parallel prefix sum; parallel processing; task synchronization; warp;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Alexandru PIRJAN, 2010. "Improving Software Performance in the Compute Unified Device Architecture," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, Academy of Economic Studies - Bucharest, Romania, vol. 14(4), pages 30-47.
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    Cited by:
    1. Dana-Mihaela Petroşanu & Alexandru Pîrjan, 2012. "Economic Considerations Regarding The Opportunity Of Optimizing Data Processing Using Graphics Processing Units," Romanian Economic Business Review, Romanian-American University, Romanian-American University, vol. 6(1), pages 204-215, May.
    2. Alexandru Pîrjan & Dana-Mihaela Petroşanu, 2012. "Solutions For Optimizing The Radix Sort Algorithmic Function Using The Compute Unified Device Architecture," Romanian Economic Business Review, Romanian-American University, Romanian-American University, vol. 6(2), pages 344-358, December.

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