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Economic Considerations Regarding The Opportunity Of Optimizing Data Processing Using Graphics Processing Units

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Author Info

  • Dana-Mihaela Petroşanu

    ()
    (Department of Mathematics-Informatics I, University Politehnica of Bucharest)

  • Alexandru Pîrjan

    ()
    (Faculty of Computer Science for Business Management, Romanian-American University)

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    Abstract

    In this paper, we have researched economic considerations regarding the opportunity of optimizing data processing using graphics processing units (GPU) that implement the Compute Unified Device Architecture (CUDA). After analyzing the hardware’s costs and a series of experimental tests, the study concludes that using GPU-based configurations for running basic algorithmic functions that optimize data processing, offers an improved performance and a better price/performance ratio than in the case when a CPU-based system is used. This justifies the opportunity of using the CUDA graphics processing units for optimizing data processing.

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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/SP12/JISOM-SP12-A19.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): 6 (2012)
    Issue (Month): 1 (May)
    Pages: 204-215

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    Handle: RePEc:rau:journl:v:6:y:2012:i:1:p:204-215

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    Related research

    Keywords: energy efficiency; parallel processing; CUDA; GPGPU; Kepler; algorithmic function.;

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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, Romanian-American University, vol. 5(2.1), pages 465-477, December.
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