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Subhendu Chattopadhyay

dblp:25/5134 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Distributed computing theory · 70% Algorithmic game theory and mechanism design · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed computing theory
distributed graph algorithms
0.012002
Dynamic and self-stabilizing distributed matching · PODC 2002
Algorithmic game theory and mechanism design
matching
0.012002
Dynamic and self-stabilizing distributed matching · PODC 2002
Distributed computing theory
self-stabilization
0.012002
Dynamic and self-stabilizing distributed matching · PODC 2002
Distributed computing theory › distributed algorithms
anonymous networks
0.012002
Dynamic and self-stabilizing distributed matching · PODC 2002

Methods — techniques the papers use, named apart from their topics

self-stabilizing algorithm · 0.0read/write atomicity · 0.0
YearPublicationVenuePosition
2002 Dynamic and self-stabilizing distributed matching
abstract
Finding a maximal or maximum matching in a graph is a well-understood problem for which efficient sequential algorithms exist. Applications of matchings in distributed settings make it desirable to find self-stabilizing asynchronous distributed solutions to these problems. We first present a self-stabilizing algorithm for finding a maximal matching in a general anonymous network under read/write atomicity with linear round complexity. This is followed by a self-stabilizing algorithm, with quadratic time complexity, for finding a maximum matching in a bipartite network under composite atomicity. These results represent significant progress in the area of distributed algorithms for matchings.
Subhendu Chattopadhyay, Lisa Higham, Karen Seyffarth
PODC1