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.2016.6
URN: urn:nbn:de:0030-drops-68994
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6899/
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Nélis, Vincent ; Yomsi, Patrick Meumeu ; Pinho, Luís Miguel

The Variability of Application Execution Times on a Multi-Core Platform

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OASIcs-WCET-2016-6.pdf (0.8 MB)

Abstract

It is a known fact that processes running concurrently on different cores in a multicore environment interfere with each other on the processor shared resources. The contention on these shared resources considerably slows down the execution on every core since sometimes the cores must stall while their requests to access the resources are being served. But by how much the execution may be slowed down due to this interference? In this paper we answer this question with numbers coming from experimentation. That is, we quantify the magnitude of the impact of the interference on the execution time by running programs taken from the TACLeBench benchmark suite, a popular benchmark suite in the real-time research community, on the first generation of Kalray manycore processor family, the MPPA-256 (the development board) that goes by the codename "Andey".

BibTeX - Entry

@InProceedings{nlis_et_al:OASIcs:2016:6899,
  author =	{Vincent N{\'e}lis and Patrick Meumeu Yomsi and Lu{\'i}s Miguel Pinho},
  title =	{{The Variability of Application Execution Times on a Multi-Core Platform}},
  booktitle =	{16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016)},
  pages =	{6:1--6:11},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-025-5},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{55},
  editor =	{Martin Schoeberl},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6899},
  URN =		{urn:nbn:de:0030-drops-68994},
  doi =		{10.4230/OASIcs.WCET.2016.6},
  annote =	{Keywords: Execution time variability, timing analysis, WCET estimates, multi-cores, many-cores}
}

Keywords: Execution time variability, timing analysis, WCET estimates, multi-cores, many-cores
Collection: 16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016)
Issue Date: 2016
Date of publication: 20.12.2016

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