Document Open Access Logo

Simultaneous Multithreading Applied to Real Time (Artifact)

Authors Sims Hill Osborne, Joshua J. Bakita, James H. Anderson

PDF

Artifact Description

Thumbnail PDF
PDF
DARTS.5.1.8.pdf
  • Filesize: 306 kB
  • 2 pages

Document Identifiers

Subject Classification

ACM Subject Classification
  • Computer systems organization → Real-time systems
  • Computer systems organization → Real-time system specification
  • Software and its engineering → Scheduling
  • Software and its engineering → Multithreading
Keywords
  • real-time systems
  • simultaneous multithreading
  • soft real-time
  • scheduling algorithms

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
    0
    Metadata Views

Abstract

Existing models used in real-time scheduling are inadequate to take advantage of simultaneous multithreading (SMT), which has been shown to improve performance in many areas of computing, but has seen little application to real-time systems. The SMART task model, which allows for combining SMT and real time by accounting for the variable task execution costs caused by SMT, is introduced, along with methods and conditions for scheduling SMT tasks under global earliest-deadline-first scheduling. The benefits of using SMT are demonstrated through a large-scale schedulability study in which we show that task systems with utilizations 30% larger than what would be schedulable without SMT can be correctly scheduled. This artifact includes benchmark experiments used to compare execution times with and without SMT and code to duplicate the reported schedulability experiments.

Cite As Get BibTex

Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson. Simultaneous Multithreading Applied to Real Time (Artifact). In Special Issue of the 31st Euromicro Conference on Real-Time Systems (ECRTS 2019). Dagstuhl Artifacts Series (DARTS), Volume 5, Issue 1, pp. 8:1-8:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/DARTS.5.1.8

Author Details

Sims Hill Osborne
  • University of North Carolina, Chapel Hill, North Carolina, USA
Joshua J. Bakita
  • University of North Carolina, Chapel Hill, North Carolina, USA
James H. Anderson
  • University of North Carolina, Chapel Hill, North Carolina, USA

Funding

Work supported by NSF grants CNS 1409175, CNS 1563845, CNS 1717589, and CPS 1837337, ARO grant W911NF-17-1-0294, and funding from General Motors.

Acknowledgements

We wish to thank the reviewers for their time and suggested improvements.

Artifact

  MD5 Sum: e83e1ed15eea76f1e323d757b42d8ab8 (Get MD5 Sum)

Related Article

  • Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson, "Simultaneous Multithreading Applied to Real Time", in 31st Euromicro Conference on Real-Time Systems (ECRTS 2019), LIPIcs, Vol. 133, pp. 3:1 - 3:22, 2019. https://dx.doi.org/10.4230/LIPIcs.ECRTS.2019.3

References

  1. H. Falk, S. Altmeyer, P. Hellinckx, B. Lisper, W. Puffitsch, C. Rochange, M. Schoeberl, R. B. Sorensen, P. Wagemann, and S. Wegener. TACLeBench: A Benchmark Collection to Support Worst-Case Execution Time Research. In WCET 2016, pages 2:1-2:10, 2016. Google Scholar
  2. S. Osborne, J. Bakita, and J. H. Anderson. Simultaneous Multithreading Applied to Real Time. In ECRTS '19, 2019. Google Scholar
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2025 Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact