An automated system for program parameters fine tuning in the cloud

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The paper presents a software system aimed at finding best (in some sense) parameters of an algorithm. The system handles both discrete and continuous parameters and employs massive parallelism offered by public clouds. The paper presents an overview of the system, a method to measure algorithm's performance in the cloud and numerical results of system's use on several problem sets.

Keywords: algorithmic parameter optimization, parameter tuning, cloud computing
Citation in English: Computer Research and Modeling, 2015, vol. 7, no. 3, pp. 587-592

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International Interdisciplinary Conference "Mathematics. Computing. Education"

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