License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.WCET.2017.10
URN: urn:nbn:de:0030-drops-73120
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7312/
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Nelis, Vincent ; Yomsi, Patrick Meumeu ; Pinho, Luís Miguel

The P-SOCRATES Timing Analysis Methodology for Parallel Real-Time Applications Deployed on Many-Core Platforms

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OASIcs-WCET-2017-10.pdf (0.9 MB)

Abstract

This paper presents the timing analysis methodology developed in the European project P-SOCRATES (Parallel Software Framework for Time-Critical Many-core Systems). This timing analysis methodology is defined for parallel applications that must satisfy both performance and real-time requirements and are executed on modern many-core processor architectures. We discuss the motivation and objectives of the project, the timing analysis flow that we proposed, the tool that has been developed to automatize it, and finally we report on some of the preliminary results that we have obtained when applying this methodology to the three application use-cases of the project.

BibTeX - Entry

@InProceedings{nelis_et_al:OASIcs:2017:7312,
  author =	{Vincent Nelis and Patrick Meumeu Yomsi and Lu{\'i}s Miguel Pinho},
  title =	{{The P-SOCRATES Timing Analysis Methodology for Parallel Real-Time Applications Deployed on Many-Core Platforms}},
  booktitle =	{17th International Workshop on Worst-Case Execution Time Analysis (WCET 2017)},
  pages =	{10:1--10:9},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-057-6},
  ISSN =	{2190-6807},
  year =	{2017},
  volume =	{57},
  editor =	{Jan Reineke},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7312},
  URN =		{urn:nbn:de:0030-drops-73120},
  doi =		{10.4230/OASIcs.WCET.2017.10},
  annote =	{Keywords: Timing analysis, many-core platform}
}

Keywords: Timing analysis, many-core platform
Collection: 17th International Workshop on Worst-Case Execution Time Analysis (WCET 2017)
Issue Date: 2017
Date of publication: 23.06.2017

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