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Quantifying power consumption variations of HPC systems using SPEC MPI benchmarks

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Computer Science - Research and Development

Abstract

The power consumption of an HPC system is not only a major concern due to the huge associated operational cost. It also poses high demands on the infrastructure required to operate such a system. The power consumption strongly depends on the executed workload and is influenced by the system hard- and software and its setup. In this paper we analyze the power consumption of a 32-node cluster across a wide range of parallel applications using the SPEC MPI2007 benchmark. By measuring the variations of the power consumed by different hardware nodes and processes of an applications we lay the ground to extrapolate the energy demand of large parallel HPC systems.

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Authors and Affiliations

  1. Center for Information Services and High Performance Computing (ZIH), Technische Universität Dresden, 01062, Dresden, Germany

    Daniel Hackenberg, Robert Schöne, Daniel Molka, Matthias S. Müller & Andreas Knüpfer

Authors
  1. Daniel Hackenberg
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  2. Robert Schöne
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  3. Daniel Molka
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  4. Matthias S. Müller
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  5. Andreas Knüpfer
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Correspondence to Daniel Hackenberg.

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Hackenberg, D., Schöne, R., Molka, D. et al. Quantifying power consumption variations of HPC systems using SPEC MPI benchmarks. Comput Sci Res Dev 25, 155–163 (2010). https://doi.org/10.1007/s00450-010-0118-0

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  • DOI: https://doi.org/10.1007/s00450-010-0118-0

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