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

Author

Listed:
  • Ion Lungu

    () (Academy of Economic Studies Bucharest)

  • Dana-Mihaela Petroşanu

    () (University Politehnica of Bucharest)

  • Alexandru Pîrjan

    () (Romanian-American University Bucharest)

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.

Suggested Citation

  • Ion Lungu & Dana-Mihaela Petroşanu & Alexandru Pîrjan, 2011. "Solutions For Optimizing The Data Parallel Prefix Sum Algorithm Using The Compute Unified Device Architecture," Romanian Economic Business Review, Romanian-American University, vol. 5(2.1), pages 465-477, December.
  • Handle: RePEc:rau:journl:v:5:y:2011:i:2.1:p:465-477
    as

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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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    References listed on IDEAS

    as
    1. Alexandru PIRJAN, 2010. "Improving Software Performance in the Compute Unified Device Architecture," Informatica Economica, 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, 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, pages 344-358.

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