DagRep.11.10.1.pdf
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Adaptive Resource Management for HPC Systems (Dagstuhl Seminar 21441)
Authors and all authors of the abstracts in this report
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Issue:
Dagstuhl Reports, Volume 11, Issue 10
Volume: Dagstuhl Reports, Volume 11
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2022-04-11
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Michael Gerndt, Masaaki Kondo, Barton P. Miller, and Tapasya Patki. Adaptive Resource Management for HPC Systems (Dagstuhl Seminar 21441). In Dagstuhl Reports, Volume 11, Issue 10, pp. 1-19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/DagRep.11.10.1
https://doi.org/10.4230/DagRep.11.10.1
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.
Subject Classification
ACM Subject Classification
- Computer systems organization → Distributed architectures
- Software and its engineering → Parallel programming languages
- Software and its engineering → Process management
Keywords
- High Performance Computing
- dynamic resource management
- malleable HPC applications
- power management
- computing continuum
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