Energy efficiency and high-performance computing

Abstract : Nowadays, high-performance computing (HPC) infrastructure can consume several megawatts. This chapter provides a state-of-the-art overview as regards energy efficiency in high-performance computing (HPC) facilities while describing the open challenges the research community has to face in the coming years to enable the building and usage of an exascale platform by 2020. It presents an overview of HPC systems. The chapter describes some research challenges and issues, while energy efficiency in clouds for HPC workload is discussed. The chapter also presents some examples of technological and economical barriers that have to be overcome before building an exascale system. The resource and job management system (RJMS) has a strategic position in the whole HPC software stack as it has a constant knowledge of both workload and resources. Virtualization is emerging as the prominent approach to mutualize the energy consumed by a single server running multiple virtual machines (VMs) instances.
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Chapitre d'ouvrage
Large-scale Distributed Systems and Energy efficiency, Wiley, 2015, 978-1-118-86463-0. 〈10.1002/9781118981122.ch7〉
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https://hal.inria.fr/hal-01251988
Contributeur : Emmanuel Jeannot <>
Soumis le : jeudi 7 janvier 2016 - 09:51:44
Dernière modification le : mercredi 12 septembre 2018 - 17:46:03

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Pascal Bouvry, Ghislain Landry Tsafack Chetsa, Georges Da Costa, Emmanuel Jeannot, Laurent Lefèvre, et al.. Energy efficiency and high-performance computing. Large-scale Distributed Systems and Energy efficiency, Wiley, 2015, 978-1-118-86463-0. 〈10.1002/9781118981122.ch7〉. 〈hal-01251988〉

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