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Resource Management System for HPC Computing

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Automation 2018 (AUTOMATION 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 743))

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Abstract

The concept of the architecture of a control framework for reducing power consumption in a large scale HPC (High Performance Computing) system is presented and discussed. The implementation of this framework provides a global computing resource manager that is implemented in the central control level, energy-efficient backbone network connecting computing farms (clusters) and data centers and a local resource manager implemented in each cluster. The decisions about activity and power status of computer and network equipment are determined by solving the problem of minimizing the energy used by the whole HPC system. A simulation-based optimization scheme is utilized to calculate optimal allocation of a set of tasks to clusters.

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Acknowledgment

This work was supported by National Science Centre grant 2015/17/B/ST6/01885.

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Authors and Affiliations

  1. Institute of Control and Computation Engineering, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665, Warszawa, Poland

    Ewa Niewiadomska-Szynkiewicz & Piotr Arabas

Authors
  1. Ewa Niewiadomska-Szynkiewicz
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  2. Piotr Arabas
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Corresponding author

Correspondence to Ewa Niewiadomska-Szynkiewicz .

Editor information

Editors and Affiliations

  1. Industrial Research Institute for Automation and Measurements PIAP, Warsaw, Poland

    Roman Szewczyk

  2. Industrial Research Institute for Automation and Measurements PIAP, Warsaw, Poland

    Cezary Zieliński

  3. Industrial Research Institute for Automation and Measurements PIAP, Warsaw, Poland

    Małgorzata Kaliczyńska

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Niewiadomska-Szynkiewicz, E., Arabas, P. (2018). Resource Management System for HPC Computing. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2018. AUTOMATION 2018. Advances in Intelligent Systems and Computing, vol 743. Springer, Cham. https://doi.org/10.1007/978-3-319-77179-3_5

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  • DOI: https://doi.org/10.1007/978-3-319-77179-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77178-6

  • Online ISBN: 978-3-319-77179-3

  • eBook Packages: EngineeringEngineering (R0)

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