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On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems

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High Performance Computing. ISC High Performance 2022 International Workshops (ISC High Performance 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13387))

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Abstract

Recent High-Performance Computing (HPC) systems are facing important challenges, such as massive power consumption, while at the same time significantly under-utilized system resources. Given the power consumption trends, future systems will be deployed in an over-provisioned manner where more resources are installed than they can afford to power simultaneously. In such a scenario, maximizing resource utilization and energy efficiency, while keeping a given power constraint, is pivotal. Driven by this observation, in this position paper we first highlight the recent trends of resource management techniques, with a particular focus on malleability support (i.e., dynamically scaling resource allocations/requirements for a job), co-scheduling (i.e., co-locating multiple jobs within a node), and power management. Second, we consider putting them together, assess their relationships/synergies, and discuss the functionality requirements in each software component for future over-provisioned and power-constrained HPC systems. Third, we briefly introduce our ongoing efforts on the integration of software tools, which will ultimately lead to the convergence of malleability and power management, as it is designed in the HPC PowerStack initiative.

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Acknowledgements

We would like to express our sincere gratitude to the anonymous reviewers for their constructive suggestions. This work has received funding under the European Commission’s EuroHPC and H2020 programmes under grant agreement no. 955606 and no. 956560.

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Authors and Affiliations

  1. Technical University of Munich, Garching, Germany

    Eishi Arima, A. Isaías Comprés & Martin Schulz

  2. Leibniz Supercomputing Centre, Garching, Germany

    Martin Schulz

Authors
  1. Eishi Arima
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  2. A. Isaías Comprés
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  3. Martin Schulz
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Corresponding author

Correspondence to Eishi Arima .

Editor information

Editors and Affiliations

  1. University of Tennessee, Knoxville, TN, USA

    Hartwig Anzt

  2. University of New Mexico, Albuquerque, NM, USA

    Amanda Bienz

  3. University of Tennessee, Knoxville, TN, USA

    Piotr Luszczek

  4. Université Paris-Saclay, Orsay, France

    Marc Baboulin

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Arima, E., Comprés, A.I., Schulz, M. (2022). On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems. In: Anzt, H., Bienz, A., Luszczek, P., Baboulin, M. (eds) High Performance Computing. ISC High Performance 2022 International Workshops. ISC High Performance 2022. Lecture Notes in Computer Science, vol 13387. Springer, Cham. https://doi.org/10.1007/978-3-031-23220-6_14

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  • DOI: https://doi.org/10.1007/978-3-031-23220-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23219-0

  • Online ISBN: 978-3-031-23220-6

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