License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ECRTS.2020.14
URN: urn:nbn:de:0030-drops-123778
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/12377/
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Osborne, Sims Hill ; Anderson, James H.

Simultaneous Multithreading and Hard Real Time: Can It Be Safe?

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LIPIcs-ECRTS-2020-14.pdf (2 MB)

Abstract

The applicability of Simultaneous Multithreading (SMT) to real-time systems has been hampered by the difficulty of obtaining reliable execution costs in an SMT-enabled system. This problem is addressed by introducing a scheduling framework, called CERT-MT, that combines scheduling-aware timing analysis with a cyclic-executive scheduler in a way that minimizes SMT-related timing variations. The proposed scheduling-aware timing analysis is based on maximum observed execution times and accounts for the uncertainty inherent in measurement-based timing analysis. The timing analysis is found to work for tasks with and without SMT, though some adjustments are required in the former case. A large-scale schedulability study is presented that shows CERT-MT can schedule systems with total utilizations approaching 1.4 times the core count, without sacrificing safety.

BibTeX - Entry

@InProceedings{osborne_et_al:LIPIcs:2020:12377,
  author =	{Sims Hill Osborne and James H. Anderson},
  title =	{{Simultaneous Multithreading and Hard Real Time: Can It Be Safe?}},
  booktitle =	{32nd Euromicro Conference on Real-Time Systems (ECRTS 2020)},
  pages =	{14:1--14:25},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-152-8},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{165},
  editor =	{Marcus V{\"o}lp},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/12377},
  URN =		{urn:nbn:de:0030-drops-123778},
  doi =		{10.4230/LIPIcs.ECRTS.2020.14},
  annote =	{Keywords: real-time systems, simultaneous multithreading, hard real-time, scheduling algorithms, probability, statistics, timing analysis}
}

Keywords: real-time systems, simultaneous multithreading, hard real-time, scheduling algorithms, probability, statistics, timing analysis
Collection: 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020)
Issue Date: 2020
Date of publication: 30.06.2020
Supplementary Material: ECRTS 2020 Artifact Evaluation approved artifact available at https://doi.org/10.4230/DARTS.6.1.1.

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