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Energy-aware self-adaptation for application execution on heterogeneous parallel architectures

Author
Kavanagh, R.; Djemame, K.; Ejarque, J.; Badia, R.M.; Garcia, D.
Type of activity
Journal article
Journal
IEEE transactions on sustainable computing
Date of publication
2020-01
Volume
5
Number
1
First page
81
Last page
94
DOI
10.1109/TSUSC.2019.2912000
Repository
http://hdl.handle.net/2117/186653 Open in new window
URL
https://ieeexplore.ieee.org/document/8693866/ Open in new window
Abstract
Hardware in High Performance Computing environments in recent years have increasingly become more heterogeneous in order to improve computational performance. An additional aspect of such systems is the management of power and energy consumption. The increase in heterogeneity requires middleware and programming model abstractions to eliminate additional complexities that it brings, while also offering opportunities such as improved power management. In this paper, we explore application level se...
Citation
Kavanagh, R. [et al.]. Energy-aware self-adaptation for application execution on heterogeneous parallel architectures. "IEEE transactions on sustainable computing", Gener 2020, vol. 5, núm. 1, p. 81-94.
Keywords
Application deployment, Energy modelling, Heterogeneous hardware architectures, Programming model, Self-adaptation
Group of research
CAP - High Performace Computing Group

Participants

  • Kavanagh, Richard  (author)
  • Djemame, Karim  (author)
  • Ejarque Artigas, Jorge  (author)
  • Badia Sala, Rosa Maria  (author)
  • Garcia Perez, David  (author)

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