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Energy model derivation for the DVFS automatic tuning plugin: tuning energy and power related tuning objectives

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Abstract

Energy consumption will become one of the dominant cost factors that will govern the next generation of large HPC centers. In this paper we present the Dynamic Voltage Frequency Scaling (DVFS) Plugin to automatically tune several energy related tuning objectives at a region-level of HPC applications. This plugin works with the Periscope Tuning Framework which provides an automatic tuning framework including analysis, experiment creation, and evaluation. The tuning actions are based on changes in the frequency via the DVFS. The tuning objectives include the tuning of energy consumption, total cost of ownership, energy delay product and power capping. The tuning is based on a model that relies on performance data and predicts energy consumption, time, and power consumption at different CPU frequencies. The derivation of the models for the DVFS plugin with the principal component analysis is included.

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Authors and Affiliations

  1. Boltzmannstrasse 1, 85748, Garching, Germany

    Carla Guillen, Carmen Navarrete, David Brayford, Wolfram Hesse & Matthias Brehm

Authors
  1. Carla Guillen
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  2. Carmen Navarrete
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  3. David Brayford
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  4. Wolfram Hesse
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  5. Matthias Brehm
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Corresponding author

Correspondence to Carmen Navarrete.

Additional information

The authors would like to thank the European Union for the support in the finished project under the Seventh Framework Programme, Grant No. 288038, LRZ for HPC support and LRR Technische Universität München for support with PTF.

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Guillen, C., Navarrete, C., Brayford, D. et al. Energy model derivation for the DVFS automatic tuning plugin: tuning energy and power related tuning objectives. Computing 99, 747–764 (2017). https://doi.org/10.1007/s00607-016-0536-3

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  • DOI: https://doi.org/10.1007/s00607-016-0536-3

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