Economic Considerations Regarding The Opportunity Of Optimizing Data Processing Using Graphics Processing Units
AbstractIn 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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Bibliographic InfoArticle provided by Romanian-American University in its journal Journal of Information Systems and Operations Management.
Volume (Year): 6 (2012)
Issue (Month): 1 (May)
energy efficiency; parallel processing; CUDA; GPGPU; Kepler; algorithmic function.;
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- 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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