Abstract
The workload model of a high-performance cluster is considered in the context of an upgrade (increase the computational power) or downgrade (save energy) problems. Analytical solutions are found that provide stochastic stability of the workload. The results of numerical experiments with log-files of a real workload are presented.
The research is partially supported by Russian Foundation for Basic Research, projects No. 13-07-00008, 14-07-31007, 15-07-02341, 15-07-02354 and the Program of Strategic Development of the Petrozavodsk State University.
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Author thanks E. V. Morozov for helpful discussions that allowed to improve the work.
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Rumyantsev, A. (2015). An HPC Upgrade/Downgrade that Provides Workload Stability. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2015. Lecture Notes in Computer Science(), vol 9251. Springer, Cham. https://doi.org/10.1007/978-3-319-21909-7_28
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DOI: https://doi.org/10.1007/978-3-319-21909-7_28
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