License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08141.6
URN: urn:nbn:de:0030-drops-15646
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2008/1564/
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Bernauer, Andreas ; Fritz, Dirk ; Sander, Björn ; Bringmann, Oliver ; Rosenstiel, Wolfgang

Current state of ASoC design methodology

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08141.BernauerAndreas.Paper.1564.pdf (0.5 MB)

Abstract

This paper gives an overview of the current state of ASoC design
methodology and presents preliminary results on evaluating the learning
classifier system XCS for the control of a QuadCore. The ASoC design
methodology can determine system reliability based on activity, power and
temperature analysis, together with reliability block diagrams. The
evaluation of the XCS shows that in the evaluated setup, XCS can find
optimal operating points, even in changed environments or with changed
reward functions. This even works, though limited, without the genetic
algorithm the XCS uses internally. The results motivate us to continue
the evaluation for more complex setups.


BibTeX - Entry

@InProceedings{bernauer_et_al:DagSemProc.08141.6,
  author =	{Bernauer, Andreas and Fritz, Dirk and Sander, Bj\"{o}rn and Bringmann, Oliver and Rosenstiel, Wolfgang},
  title =	{{Current state of ASoC design methodology}},
  booktitle =	{Organic Computing - Controlled Self-organization},
  pages =	{1--17},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8141},
  editor =	{Kirstie Bellman and Michael G. Hinchey and Christian M\"{u}ller-Schloer and Hartmut Schmeck and Rolf W\"{u}rtz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2008/1564},
  URN =		{urn:nbn:de:0030-drops-15646},
  doi =		{10.4230/DagSemProc.08141.6},
  annote =	{Keywords: Dagstuhl Seminar Proceedings, System-on-Chip, design methodology, system reliability, learning classifier system, XCS, ASoC}
}

Keywords: Dagstuhl Seminar Proceedings, System-on-Chip, design methodology, system reliability, learning classifier system, XCS, ASoC
Collection: 08141 - Organic Computing - Controlled Self-organization
Issue Date: 2008
Date of publication: 23.07.2008

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