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On the use of probabilistic worst-case execution time estimation for parallel applications in high performance systems

Author
Fusi, M.; Mazzocchetti, F.; Farres, A.; Kosmidis, L.; Canal, R.; Cazorla, F. J.; Abella, J.
Type of activity
Journal article
Journal
Mathematics (Basel)
Date of publication
2020-03-01
Volume
8
Number
3 , article 314
First page
1
Last page
21
DOI
10.3390/math8030314
Project funding
REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems
Repository
http://hdl.handle.net/2117/185378 Open in new window
URL
https://www.mdpi.com/2227-7390/8/3/314#cite Open in new window
Abstract
Some high performance computing (HPC) applications exhibit increasing real-time requirements, which call for effective means to predict their high execution times distribution. This is a new challenge for HPC applications but a well-known problem for real-time embedded applications where solutions already exist, although they target low-performance systems running single-threaded applications. In this paper, we show how some performance validation and measurement-based practices for real-time ex...
Citation
Fusi, M. [et al.]. On the use of probabilistic worst-case execution time estimation for parallel applications in high performance systems. "Mathematics (Basel)", 1 Març 2020, vol. 8, núm. 3 , article 314, p. 1-21.
Keywords
HPC applications, Measurement-based, Probabilistic timing analysis, Randomization, WCET
Group of research
VIRTUOS - Virtualisation and Operating Systems

Participants

  • Fusi, Matteo  (author)
  • Mazzocchetti, Fabio  (author)
  • Farres, Albert  (author)
  • Kosmidis, Leonidas  (author)
  • Canal Corretger, Ramon  (author)
  • Cazorla Almeida, Francisco Javier  (author)
  • Abella Ferrer, Jaume  (author)

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