Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

A Layered Approach for Dynamic Resource Management in HPC

Bungartz, Hans Joachim ; Dutot, Pierre François ; Fecht, Jan ; Gaddameedi, Keerthi ; Huber, Dominik ; Iserte, Sergio ; Minion, Michael ; Neckel, Tobias ; Peña, Antonio and Richard, Olivier , et al. (2025) International Workshops and associated events that were held in conjunction with the 30th European Conference on Parallel and Distributed Processing, Euro-Par 2024 In Lecture Notes in Computer Science 15386 LNCS. p.311-315
Abstract

Dynamic Resource Management (DRM) facilitates the real-time adjustment of resources allocated to a job during its execution. Recently, DRM has gained interest due to its potential to contribute to sustainable HPC by enhancing energy efficiency and increasing throughput for HPC system providers and users. Implementing DRM requires comprehensive changes and coordination across the entire HPC software stack. We explore a layered approach for DRM highlighting ongoing work on various solutions for DRM across the software stack. This includes the OAR resource manager, the Dynamic Processes with PSets (DPP) approach, the Dynamic Management of Resources (DMR) framework, and adaptive SWEET/LibPFASST. We showcase how these approaches create a... (More)

Dynamic Resource Management (DRM) facilitates the real-time adjustment of resources allocated to a job during its execution. Recently, DRM has gained interest due to its potential to contribute to sustainable HPC by enhancing energy efficiency and increasing throughput for HPC system providers and users. Implementing DRM requires comprehensive changes and coordination across the entire HPC software stack. We explore a layered approach for DRM highlighting ongoing work on various solutions for DRM across the software stack. This includes the OAR resource manager, the Dynamic Processes with PSets (DPP) approach, the Dynamic Management of Resources (DMR) framework, and adaptive SWEET/LibPFASST. We showcase how these approaches create a cohesive strategy for DRM across the whole HPC software stack, demonstrating our collaborative effort for an integrated solution.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and , et al. (More)
; ; ; ; ; ; ; ; ; ; ; and (Less)
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Euro-Par 2024 : Parallel Processing Workshops - Euro-Par 2024 International Workshops, Proceedings - Parallel Processing Workshops - Euro-Par 2024 International Workshops, Proceedings
series title
Lecture Notes in Computer Science
editor
Caino-Lores, Silvina ; Zeinalipour, Demetris ; Doudali, Thaleia Dimitra ; Singh, David E. ; Garzón, Gracia Ester Martín ; Sousa, Leonel ; Andrade, Diego ; Cucinotta, Tommaso ; D'Ambrosio, Donato ; Diehl, Patrick ; Dolz, Manuel F. ; Jukan, Admela ; Montella, Raffaele ; Nardelli, Matteo ; Garcia-Gasulla, Marta and Neuwirth, Sarah
volume
15386 LNCS
pages
5 pages
publisher
Springer Science and Business Media B.V.
conference name
International Workshops and associated events that were held in conjunction with the 30th European Conference on Parallel and Distributed Processing, Euro-Par 2024
conference location
Madrid, Spain
conference dates
2024-08-26 - 2024-08-30
external identifiers
  • scopus:105008680192
ISSN
0302-9743
1611-3349
ISBN
9783031902024
DOI
10.1007/978-3-031-90203-1_34
language
English
LU publication?
yes
additional info
Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
id
98453238-8b89-46bf-b906-aab50f0f51c7
date added to LUP
2025-06-30 14:45:31
date last changed
2025-10-14 10:24:37
@inproceedings{98453238-8b89-46bf-b906-aab50f0f51c7,
  abstract     = {{<p>Dynamic Resource Management (DRM) facilitates the real-time adjustment of resources allocated to a job during its execution. Recently, DRM has gained interest due to its potential to contribute to sustainable HPC by enhancing energy efficiency and increasing throughput for HPC system providers and users. Implementing DRM requires comprehensive changes and coordination across the entire HPC software stack. We explore a layered approach for DRM highlighting ongoing work on various solutions for DRM across the software stack. This includes the OAR resource manager, the Dynamic Processes with PSets (DPP) approach, the Dynamic Management of Resources (DMR) framework, and adaptive SWEET/LibPFASST. We showcase how these approaches create a cohesive strategy for DRM across the whole HPC software stack, demonstrating our collaborative effort for an integrated solution.</p>}},
  author       = {{Bungartz, Hans Joachim and Dutot, Pierre François and Fecht, Jan and Gaddameedi, Keerthi and Huber, Dominik and Iserte, Sergio and Minion, Michael and Neckel, Tobias and Peña, Antonio and Richard, Olivier and Schreiber, Martin and Schulz, Martin and Schüller, Valentina}},
  booktitle    = {{Euro-Par 2024 : Parallel Processing Workshops - Euro-Par 2024 International Workshops, Proceedings}},
  editor       = {{Caino-Lores, Silvina and Zeinalipour, Demetris and Doudali, Thaleia Dimitra and Singh, David E. and Garzón, Gracia Ester Martín and Sousa, Leonel and Andrade, Diego and Cucinotta, Tommaso and D'Ambrosio, Donato and Diehl, Patrick and Dolz, Manuel F. and Jukan, Admela and Montella, Raffaele and Nardelli, Matteo and Garcia-Gasulla, Marta and Neuwirth, Sarah}},
  isbn         = {{9783031902024}},
  issn         = {{0302-9743}},
  language     = {{eng}},
  pages        = {{311--315}},
  publisher    = {{Springer Science and Business Media B.V.}},
  series       = {{Lecture Notes in Computer Science}},
  title        = {{A Layered Approach for Dynamic Resource Management in HPC}},
  url          = {{http://dx.doi.org/10.1007/978-3-031-90203-1_34}},
  doi          = {{10.1007/978-3-031-90203-1_34}},
  volume       = {{15386 LNCS}},
  year         = {{2025}},
}