DocumentCode
1143544
Title
Self-Diagnosing Cellular Implementations of Finite-State Machines
Author
Walters, Stephen M. ; Gray, F. Gail ; Thompson, Richard A.
Author_Institution
Bell Laboratories
Issue
12
fYear
1981
Firstpage
953
Lastpage
959
Abstract
Cellular spaces are shown to possess properties favorable to reconfiguration. As a first step in the direction of reconfigurable cellular spaces, this paper demonstrates the implementation of arbitrary finite-state machines in self-diagnosing cellular spaces. The results cover single cell failures caused by erroneous state transitions or by erroneous outputs. One of the attractive features of the implementation is the absence of any hard core components. As an intermediate step, it is shown how to transform any given cellular space into a self-diagnosing cellular space. The results demonstrate that the control structure (which is a finite-state machine) of any computing device can be implemented as a self-diagnosing entity without hard core.
Keywords
Decomposition for diagnosability; design for diagnosability; fault detection; finite-state machines; tessellation automata; Automata; Automatic control; Computer architecture; Concurrent computing; Fast Fourier transforms; Fault detection; Fault tolerance; Microprocessors; Polynomials; Testing; Decomposition for diagnosability; design for diagnosability; fault detection; finite-state machines; tessellation automata;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.1981.1675734
Filename
1675734
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