Coping with Resource Fluctuations: The Run-time Reconfigurable Functional Unit Row Classifier Architecture

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{kn-ka-gl-10a,
  author =       "Tobias Knieper and Paul Kaufmann and Kyrre Glette and 
                 Marco Platzner and Jim Torresen",
  title =        "Coping with Resource Fluctuations: The Run-time
                 Reconfigurable Functional Unit Row Classifier
                 Architecture",
  booktitle =    "Evolvable Systems: From Biology to Hardware: 9th
                 International Conference, ICES 2010",
  year =         "2010",
  editor =       "G. Tempesti and A. M. Tyrrell and J. F. Miller",
  series =       "LNCS",
  volume =       "6274",
  pages =        "250--261",
  address =      "York, UK",
  month =        sep # " 6-8",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-15323-5",
  DOI =          "doi:10.1007/978-3-642-15323-5_22",
  abstract =     "The evolvable hardware paradigm facilitates the
                 construction of autonomous systems that can adapt to
                 environmental changes and degrading effects in the
                 computational resources. Extending these scenarios, we
                 study the capability of evolvable hardware classifiers
                 to adapt to intentional run-time fluctuations in the
                 available resources, i.e., chip area, in this work. To
                 that end, we leverage the Functional Unit Row (FUR)
                 architecture, a coarse-grained reconfigurable
                 classifier, and apply it to two medical benchmarks, the
                 Pima and Thyroid data sets from the UCI Machine
                 Learning Repository. We show that FUR's classification
                 performance remains high during changes of the chip
                 area in use and that performance drops are quickly
                 compensated for. Additionally, we demonstrate that FUR
                 recovery capability benefits from extra resources.",
}

Genetic Programming entries for Tobias Knieper Paul Kaufmann Kyrre Harald Glette Marco Platzner Jim Torresen

Citations