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@ARTICLE{Schne:201123,
      author       = {Schöne, Robert and Treibig, Jan and Dolz, Manuel and
                      Guillen, Carla and Navarrete, Carmen and Knobloch, Michael
                      and Rountree, Barry},
      title        = {{T}ools and methods for measuring and tuning the energy
                      efficiency of {HPC} systems},
      journal      = {Scientific programming},
      volume       = {22},
      number       = {4},
      issn         = {1058-9244},
      publisher    = {IOS Press},
      reportid     = {FZJ-2015-03428},
      pages        = {273–283},
      year         = {2014},
      abstract     = {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.},
      cin          = {JSC},
      ddc          = {070},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {411 - Computational Science and Mathematical Methods
                      (POF2-411) / ATMLPP - ATML Parallel Performance (ATMLPP)},
      pid          = {G:(DE-HGF)POF2-411 / G:(DE-Juel-1)ATMLPP},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000340647100003},
      doi          = {10.3233/SPR-140393},
      url          = {https://juser.fz-juelich.de/record/201123},
}