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Sarood, O., Langer, A., Kalé, L., Rountree, B. and de Supinski, B. (2013) Optimizing Power Allocation to CPU and Memory Subsystems in Overprovisioned HPC Systems. 2013 IEEE International Conference on Cluster Computing, Indianapolis, IN, 23-27 September 2013, 1-8.
https://doi.org/10.1109/CLUSTER.2013.6702684

has been cited by the following article:

• TITLE: Maximizing Performance under a Power Constraint on Modern Multicore Systems

  AUTHORS: Vaibhav Sundriyal, Masha Sosonkina, Bryce Westheimer, Mark S. Gordon

  KEYWORDS: Uncore Frequency Scaling (UFS), Dynamic Voltage and Frequency Scaling (DVFS), Power Budget, GAMESS

  JOURNAL NAME: Journal of Computer and Communications, Vol.7 No.7, July 29, 2019

  ABSTRACT: Energy efficiency and energy-proportional computing have become a central focus in modern supercomputers. These supercomputers should provide high throughput per unit of power to be sustainable in terms of operating cost and failure rates. In this paper, a power-bounded strategy is proposed that maximizes parallel application performance under a given power constraint. The strategy dynamically allocates power to core, uncore, and memory power domains within a node to maximize performance under a given power budget. Experiments on a 20-core Haswell-EP platform for a real-world parallel application GAMESS demonstrate that the proposed strategy delivers performance within 4% of the best possible performance for as much as 25% reduction in the minimum power budget required for maximum performance.