The Organic Features of the AMIDAR Class of Processors

  • Stephan Gatzka
  • Christian Hochberger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3432)


In this contribution we present a novel general model for adaptive processors with organic features. We describe its basic principle of operation. The adaptive operations that are possible with this model are thoroughly discussed with respect to organic computing. The model allows runtime variations of the type and number of functional units as well as variations of the communication structure. Experimental results show that a processor implementing this model can self-optimize its architecture for several diverse applications.


Communication Structure Functional Unit Organic Feature Token Generator Autonomic Computing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Stephan Gatzka
    • 1
  • Christian Hochberger
    • 1
  1. 1.TU DresdenDresdenGermany

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