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URN: urn:nbn:de:0030-drops-15646
URL: http://drops.dagstuhl.de/opus/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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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:DSP:2008:1564,
  author =	{Andreas Bernauer and Dirk Fritz and Bj{\"o}rn Sander and Oliver Bringmann and Wolfgang Rosenstiel},
  title =	{Current state of ASoC design methodology},
  booktitle =	{Organic Computing - Controlled Self-organization},
  year =	{2008},
  editor =	{Kirstie Bellman and Michael G. Hinchey and Christian M{\"u}ller-Schloer and Hartmut Schmeck and Rolf W{\"u}rtz},
  number =	{08141},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2008/1564},
  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
Seminar: 08141 - Organic Computing - Controlled Self-organization
Issue Date: 2008
Date of publication: 23.07.2008


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