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Solutions For Optimizing The Radix Sort Algorithmic Function Using The Compute Unified Device Architecture

Author

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  • Alexandru Pîrjan

    (Romanian-American University Bucharest)

  • Dana-Mihaela Petroşanu

    (University Politehnica of Bucharest)

Abstract

In this paper, we have researched and developed solutions for optimizing the radix sort algorithmic function using the Compute Unified Device Architecture (CUDA). The radix sort is a common parallel primitive, an essential building block for many data processing algorithms, whose optimization improves the performance of a wide class of parallel algorithms useful in data processing. A particular interest in our research was to develop solutions for optimizing the radix sort algorithmic function that offers optimal solutions over an entire range of CUDA enabled GPUs: Tesla GT200, Fermi GF100 and the latest Kepler GK104 architecture, released on March 2012. In order to confirm the utility of the developed optimization solutions, we have extensively benchmarked and evaluated the performance of the radix sort algorithmic function in CUDA.

Suggested Citation

  • 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, vol. 6(2), pages 344-358, December.
    • Handle: RePEc:rau:journl:v:6:y:2012:i:2:p:344-358
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI12/JISOM-WI12-A11.pdf
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Tăbușcă Alexandru, 2015. "Learning A Programming Language For Today," Romanian Economic Business Review, Romanian-American University, vol. 9(1), pages 83-94, May.

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    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.

    More about this item

    Keywords

    parallel processing; CUDA; GK104; threads; shared memory;
    All these keywords.

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