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Online Marking of Defective Cells by Random Flies

  • Teijiro Isokawa
  • Shin’ya Kowada
  • Ferdinand Peper
  • Naotake Kamiura
  • Nobuyuki Matsui
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4173)

Abstract

Defect-tolerance, the ability to overcome unreliability of components in a system, will be essential to realize computers built by nanotechnology. This paper presents a novel approach to defect-tolerance for nanocomputers that are based on self-timed cellular automata, a type of asynchronous cellular automaton. According to this approach, defective cells are detected and isolated by configurations of random flies that move around in cellular space. We show that detection and isolation are realized in an on-line manner, i.e., while computation takes place.

Keywords

Cellular Automaton Cellular Automaton Transition Rule Internal Signal Cellular Automaton Model 
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 2006

Authors and Affiliations

  • Teijiro Isokawa
    • 1
  • Shin’ya Kowada
    • 1
  • Ferdinand Peper
    • 1
    • 2
  • Naotake Kamiura
    • 1
  • Nobuyuki Matsui
    • 1
  1. 1.Division of Computer Engineering, Graduate School of EngineeringUniversity of HyogoHimejiJapan
  2. 2.Nanotechnology groupNational Institute of Information and Communications TechnologyKobeJapan

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