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DOI: 10.4230/LIPIcs.CP.2021.26
A Job Dispatcher for Large and Heterogeneous HPC Systems Running Modern Applications

Authors: Cristian Galleguillos, Zeynep Kiziltan, and Ricardo Soto

Published in: LIPIcs, Volume 210, 27th International Conference on Principles and Practice of Constraint Programming (CP 2021)

Abstract
High-performance Computing (HPC) systems have become essential instruments in our modern society. As they get closer to exascale performance, HPC systems become larger in size and more heterogeneous in their computing resources. With recent advances in AI, HPC systems are also increasingly being used for applications that employ many short jobs with strict timing requirements. HPC job dispatchers need to therefore adopt techniques to go beyond the capabilities of those developed for small or homogeneous systems, or for traditional compute-intensive applications. In this paper, we present a job dispatcher suitable for today’s large and heterogeneous systems running modern applications. Unlike its predecessors, our dispatcher solves the entire dispatching problem using Constraint Programming (CP) with a model size independent of the system size. Experimental results based on a simulation study show that our approach can bring about significant performance gains over the existing CP-based dispatchers in a large or heterogeneous system.
Cite as

Cristian Galleguillos, Zeynep Kiziltan, and Ricardo Soto. A Job Dispatcher for Large and Heterogeneous HPC Systems Running Modern Applications. In 27th International Conference on Principles and Practice of Constraint Programming (CP 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 210, pp. 26:1-26:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{galleguillos_et_al:LIPIcs.CP.2021.26,
  author =	{Galleguillos, Cristian and Kiziltan, Zeynep and Soto, Ricardo},
  title =	{{A Job Dispatcher for Large and Heterogeneous HPC Systems Running Modern Applications}},
  booktitle =	{27th International Conference on Principles and Practice of Constraint Programming (CP 2021)},
  pages =	{26:1--26:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-211-2},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{210},
  editor =	{Michel, Laurent D.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2021.26},
  URN =		{urn:nbn:de:0030-drops-153171},
  doi =		{10.4230/LIPIcs.CP.2021.26},
  annote =	{Keywords: Constraint programming, HPC systems, heterogeneous systems, large systems, on-line job dispatching, resource allocation}
}
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