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https://doi.org/10.1145/3295500.3356150

has been cited by the following article:

• TITLE: Distributed Strategy for Power Re-Allocation in High Performance Applications

  AUTHORS: Vaibhav Sundriyal, Masha Sosonkina

  KEYWORDS: Multinode Power Allocation, RAPL, UFS, DVFS, Maximizing Performance, Component Power

  JOURNAL NAME: Journal of Computer and Communications, Vol.8 No.12, December 25, 2020

  ABSTRACT: To improve the power consumption of parallel applications at the runtime, modern processors provide frequency scaling and power limiting capabilities. In this work, a runtime strategy is proposed to distribute a given power allocation among the cluster nodes assigned to the application while balancing their performance change. The strategy operates in a timeslice-based manner to estimate the current application performance and power usage per node followed by power redistribution across the nodes. Experiments, performed on four nodes (112 cores) of a modern computing platform interconnected with Infiniband showed that even a significant power budget reduction of 20% may result in a performance degradation of as low as 1% under the proposed strategy compared with the execution in the unlimited power case.