Tools and Methods for Measuring and Tuning the Energy Efficiency of HPC Systems

Research output: Other contributionOtherContributedpeer-review


  • Robert Schöne - , Center for Information Services and High Performance Computing (ZIH) (Author)
  • Jan Treibig - , Friedrich-Alexander University Erlangen-Nürnberg (Author)
  • Manuel Dolz - , University of Hamburg (Author)
  • Carla Guillen - , Leibniz Supercomputing Centre (Author)
  • Carmen Navarrete - , Leibniz Supercomputing Centre (Author)
  • Michael Knobloch - , Jülich Research Centre (Author)
  • Barry Rountree - , Lawrence Livermore National Laboratory (Author)


Energy costs nowadays represent a significant share of the total costs of ownership of High Performance Computing (HPC) systems. In this paper we provide an overview on different aspects of energy efficiency measurement and optimization. This includes metrics that define energy efficiency and a description of common power and energy measurement tools. We discuss performance measurement and analysis suites that use these tools and provide users the possibility to analyze energy efficiency weaknesses in their code. We also demonstrate how the obtained power and performance data can be used to locate inefficient resource usage or to create a model to predict optimal operation points. We further present interfaces in these suites that allow an automated tuning for energy efficiency and how these interfaces are used. We finally discuss how a hard power limit will change our view on energy efficient HPC in the future


Original languageEnglish
Number of pages11
Publication statusPublished - 2014
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External IDs

Scopus 84927658457


Sustainable Development Goals


  • tools, energy efficiency, HPC