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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 OPUS Augsburgarrow_drop_down
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
OPUS Augsburg
Article . 1995
Data sources: OPUS Augsburg
https://doi.org/10.1007/bfb001...
Part of book or chapter of book . 1995 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2017
Data sources: DBLP
MPG.PuRe
Conference object . 1995
Data sources: MPG.PuRe
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More efficient parallel flow algorithms

Authors: Dedorath, Jürgen; Gergov, Jordan; Hagerup, Torben;

More efficient parallel flow algorithms

Abstract

We develop an arsenal of tools for improving the efficiency of parallel algorithms for network-flow problems and apply it to a maximum-flow algorithm of Goldberg, a blocking-flow algorithm of Shiloach and Vishkin, and a maximum-flow algorithm of Ahuja and Orlin. Depending on the exact model of computation and the time available for the computation, we achieve a polylogarithmic reduction in the time-processor product. In particular, this leads to the first parallel implementations with optimal speedup of the corresponding sequential algorithms.

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Germany
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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!
0
Average
Average
Average
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