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Holistic slowdown driven scheduling and resource management for malleable jobs

Author
D'Amico, M.; Jokanovic, A.; Corbalan, J.
Type of activity
Presentation of work at congresses
Name of edition
48th International Conference on Parallel Processing
Date of publication
2019
Presentation's date
2019-08-06
Book of congress proceedings
ICPP 2019: proceedings of the 48th International Conference on Parallel Processing
First page
1
Last page
10
Publisher
Association for Computing Machinery (ACM)
DOI
10.1145/3337821.3337909
Project funding
Computación de Altas Prestaciones VII
Models de programació i entorns d'execució paral·lels
Repository
http://hdl.handle.net/2117/168516 Open in new window
URL
https://dl.acm.org/citation.cfm?id=3337909 Open in new window
Abstract
In job scheduling, the concept of malleability has been explored since many years ago. Research shows that malleability improves system performance, but its utilization in HPC never became widespread. The causes are the difficulty in developing malleable applications, and the lack of support and integration of the different layers of the HPC software stack. However, in the last years, malleability in job scheduling is becoming more critical because of the increasing complexity of hardware and wo...
Citation
D'Amico, M.; Jokanovic, A.; Corbalán, J. Holistic slowdown driven scheduling and resource management for malleable jobs. A: International Conference on Parallel Processing. "ICPP 2019: proceedings of the 48th International Conference on Parallel Processing". New York: Association for Computing Machinery (ACM), 2019, p. 1-10.
Keywords
Co-scheduling, Job scheduling, Malleability, Multicore architectures, Resource management, Scheduling
Group of research
CAP - High Performace Computing Group

Participants

  • D'Amico, Marco  (author and speaker )
  • Jokanovic, Ana  (author and speaker )
  • Corbalan Gonzalez, Julita  (author and speaker )