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Marathe, A., Bailey, P.E., Lowenthal, D.K., Rountree, B., Schulz, M. and de Supinski, B.R. (2015) A Run-Time System for Power-Constrained HPC Applications. In: Kunkel, J. and Ludwig, T., Eds., High Performance Computing. ISC High Performance 2015. Lecture Notes in Computer Science, Vol. 9137, Springer, Cham, 394-408.
https://doi.org/10.1007/978-3-319-20119-1_28

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.