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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
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Article
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SIAM Journal on Computing
Article . 1985 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1985
Data sources: DBLP
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On Fault-Tolerant Networks for Sorting

On fault-tolerant networks for sorting
Authors: Andrew Chi-Chih Yao; F. Frances Yao;

On Fault-Tolerant Networks for Sorting

Abstract

Summary: The study of constructing reliable systems from unreliable components goes back to the work of von Neumann, and of Moore and Shannon. The present paper studies the use of redundancy to enhance reliability for sorting and related networks built from unreliable comparators. Two models of fault-tolerant networks are discussed. The first model patterns after the concept of error-correcting codes in information theory, and the other follows the stochastic criterion used by von Neumann and Moore-Shannon. It is shown, for example, that an additional \(k(2n-3)\) comparators are sufficient to render a sorting network reliable, provided that no more than k of its comparators may be faulty.

Keywords

reliability, redundancy, merging, sorting network, comparators, Hamming distance, Applications of graph theory to circuits and networks, Batcher's network, Searching and sorting, unreliable components

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
48
Top 10%
Top 1%
Average
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