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Robust GPGPU plugin development for RapidMiner

Andor Kovacs, Zoltan Prekopcsak
Budapest University of Technology and Economics
RapidMiner Community Meeting And Conference (RCOMM), 2012
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In recent years, significant number of papers [1][2] have been published about general-purpose graphical processing unit (GPGPU) programs which are able to accelerate computationally intensive applications by several times over conventional CPU programs. These papers raise an important question: With the current developer tools is it possible to integrate these GPU programs into a major industry application without serious performance degradation? We chose the k-Nearest Neighbors algorithm and one of the most popular open source data mining tool, RapidMiner, to analyze the potential of GPU plugin development.
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