Resource Management System for HPC Computing

  • Ewa Niewiadomska-SzynkiewiczEmail author
  • Piotr Arabas
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 743)


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.


Green HPC systems Energy aware resource allocation Energy-efficient grids and clouds Simulation-based optimization 



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


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Institute of Control and Computation EngineeringWarsaw University of TechnologyWarszawaPoland

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