Detail publikace

Analysis of Reconfiguration Options for a Reconfigurable Polymorphic Circuit

Originální název

Analysis of Reconfiguration Options for a Reconfigurable Polymorphic Circuit

Anglický název

Analysis of Reconfiguration Options for a Reconfigurable Polymorphic Circuit

Jazyk

en

Originální abstrakt

REconfigurable POlymorphic MOdule (REPOMO) will be a new reconfigurable chip intended for experimental applications of evolvable and polymorphic hardware. In this paper, we analyze various reconfiguration options for this platform with the aim of finding such a reconfiguration subsystem which maximizes the success rate of evolutionary circuit design conducted using REPOMO. An interesting outcome of this analysis is that a relatively high success rate of evolutionary design can be achieved using relatively simple reconfiguration options which have to be implemented in hardware.  These results are also relevant for evolutionary circuit design which is performed using Cartesian Genetic Programming.

Anglický abstrakt

REconfigurable POlymorphic MOdule (REPOMO) will be a new reconfigurable chip intended for experimental applications of evolvable and polymorphic hardware. In this paper, we analyze various reconfiguration options for this platform with the aim of finding such a reconfiguration subsystem which maximizes the success rate of evolutionary circuit design conducted using REPOMO. An interesting outcome of this analysis is that a relatively high success rate of evolutionary design can be achieved using relatively simple reconfiguration options which have to be implemented in hardware.  These results are also relevant for evolutionary circuit design which is performed using Cartesian Genetic Programming.

BibTex


@inproceedings{BUT30487,
  author="Zdeněk {Vašíček} and Ladislav {Čapka} and Lukáš {Sekanina}",
  title="Analysis of Reconfiguration Options for a Reconfigurable Polymorphic Circuit",
  annote="REconfigurable POlymorphic MOdule (REPOMO) will be a new reconfigurable chip
intended for experimental applications of evolvable and polymorphic hardware. In
this paper, we analyze various reconfiguration options for this platform with the
aim of finding such a reconfiguration subsystem which maximizes the success rate
of evolutionary circuit design conducted using REPOMO. An interesting outcome of
this analysis is that a relatively high success rate of evolutionary design can
be achieved using relatively simple reconfiguration options which have to be
implemented in hardware.  These results are also relevant for evolutionary
circuit design which is performed using Cartesian Genetic Programming.",
  address="IEEE Computer Society",
  booktitle="Proc. of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems",
  chapter="30487",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Computer Society",
  year="2008",
  month="june",
  pages="3--10",
  publisher="IEEE Computer Society",
  type="conference paper"
}