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eeClust: Energy-Efficient Cluster Computing

  • Timo MinartzEmail author
  • Daniel Molka
  • Michael Knobloch
  • Stephan Krempel
  • Thomas Ludwig
  • Wolfgang E. Nagel
  • Bernd Mohr
  • Hugo Falter
Conference paper

Abstract

Energy consumption has become a major topic in high performance computing in the last years. This is first due to the high operational costs for large-scale machines which are almost as high as the acquisition costs of the whole installation. A second factor is the high carbon footprint of HPC-centers, which should be reduced for environmental reasons. We present the eeClust project, which aims at the reduction of energy consumption of applications running on a cluster with as little performance degradation as possible. We outline the concept of the project, present the tools involved in analyzing the energy consumption of the application as well as managing hardware power states. Further we present first results and the ongoing work in the project.

Notes

Acknowledgements

This project is funded by the BMBF (German Federal Ministry of Education and Research) under grant 01|H08008E within the call: “HPC-Software für skalierbare Parallelrechner”.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Timo Minartz
    • 1
    Email author
  • Daniel Molka
    • 2
  • Michael Knobloch
    • 3
  • Stephan Krempel
    • 4
  • Thomas Ludwig
    • 1
  • Wolfgang E. Nagel
    • 2
  • Bernd Mohr
    • 3
  • Hugo Falter
    • 4
  1. 1.Department of InformaticsUniversity of HamburgHamburgGermany
  2. 2.Center for Information Services and High Performance Computing (ZIH)TU DresdenDresdenGermany
  3. 3.Jülich Supercomputing Centre (JSC)Forschungszentrum Jülich GmbHJülichGermany
  4. 4.ParTec Cluster Competence Center GmbHMünchenGermany

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