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  • https://doi.org/10.15827/0236-235x.130.218-228Copy DOI Icon

Применение машинного обучения для прогнозирования времени выполнения суперкомпьютерных заданий

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Abstract

The authors devoted the paper to machine learning methods and algorithms for the supercomputer job execution time predicting. The supercomputer systems statistics for multiple-access shows that the actual execution time for most jobs substantially diverges from the time requested by the user. This reduces the scheduling job efficiency because inaccurate estimates of execution time lead to a suboptimal schedule for job launches.

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