License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.11.10.1
URN: urn:nbn:de:0030-drops-159256
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/15925/
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Gerndt, Michael ; Kondo, Masaaki ; Miller, Barton P. ; Patki, Tapasya
Weitere Beteiligte (Hrsg. etc.): Michael Gerndt and Masaaki Kondo and Barton P. Miller and Tapasya Patki

Adaptive Resource Management for HPC Systems (Dagstuhl Seminar 21441)

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dagrep_v011_i010_p001_21441.pdf (3 MB)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 21441 "Adaptive Resource Management for HPC Systems". The seminar investigated the impact of adaptive resource management of malleable applications on the management of the HPC system, the programming of the applications, the tools for performance analysis and tuning, as well as the efficient usage of the HPC systems. The discussions led to a joint summary presenting the state-of-the-art, required techniques on the various levels of HPC systems, as well as the foreseen advantages of adaptive resource management.

BibTeX - Entry

@Article{gerndt_et_al:DagRep.11.10.1,
  author =	{Gerndt, Michael and Kondo, Masaaki and Miller, Barton P. and Patki, Tapasya},
  title =	{{Adaptive Resource Management for HPC Systems (Dagstuhl Seminar 21441)}},
  pages =	{1--19},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{11},
  number =	{10},
  editor =	{Gerndt, Michael and Kondo, Masaaki and Miller, Barton P. and Patki, Tapasya},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/15925},
  URN =		{urn:nbn:de:0030-drops-159256},
  doi =		{10.4230/DagRep.11.10.1},
  annote =	{Keywords: High Performance Computing, dynamic resource management, malleable HPC applications, power management, computing continuum}
}

Keywords: High Performance Computing, dynamic resource management, malleable HPC applications, power management, computing continuum
Collection: DagRep, Volume 11, Issue 10
Issue Date: 2022
Date of publication: 11.04.2022

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