Current state of ASoC design methodology

Bernauer, Andreas; Fritz, Dirk; Sander, Björn; Bringmann, Oliver; Rosenstiel, Wolfgang

doi:10.4230/DagSemProc.08141.6

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Current state of ASoC design methodology

Authors Andreas Bernauer, Dirk Fritz, Björn Sander, Oliver Bringmann, Wolfgang Rosenstiel

Part of: Volume: Dagstuhl Seminar Proceedings, Volume 8141
Part of: Series: Dagstuhl Seminar Proceedings (DagSemProc)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2008-07-23

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Document Identifiers

DOI: 10.4230/DagSemProc.08141.6
URN: urn:nbn:de:0030-drops-15646

Subject Classification

Keywords

Dagstuhl Seminar Proceedings
System-on-Chip
design methodology
system reliability
learning classifier system
XCS
ASoC

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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.

Cite As Get BibTex

Andreas Bernauer, Dirk Fritz, Björn Sander, Oliver Bringmann, and Wolfgang Rosenstiel. Current state of ASoC design methodology. In Organic Computing - Controlled Self-organization. Dagstuhl Seminar Proceedings, Volume 8141, pp. 1-17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008) https://doi.org/10.4230/DagSemProc.08141.6

Author Details

Andreas Bernauer

Dirk Fritz

Björn Sander

Oliver Bringmann

Wolfgang Rosenstiel

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