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

Author

Listed:
  • Dana-Mihaela Petroşanu

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

  • Alexandru Pîrjan

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

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.

Suggested Citation

  • 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.
    • Handle: RePEc:rau:journl:v:6:y:2012:i:1:p:204-215
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/SP12/JISOM-SP12-A19.pdf
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    References listed on IDEAS

    as
    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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