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Marat Teplitsky

dblp:54/1005 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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

Systems, architecture and hardware · 1

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 · 67% Algorithms and data structures · 33%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

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

TopicWeightPapersLastEvidence papers
Distributed systems › distributed algorithms
CONGEST model
0.112011
The round complexity of distributed sorting: extended abstract · PODC 2011
Distributed computing theory
distributed algorithms
0.112011
The round complexity of distributed sorting: extended abstract · PODC 2011
Distributed computing theory › distributed graph algorithms
distributed selection
0.112011
The round complexity of distributed sorting: extended abstract · PODC 2011
Algorithms and data structures
selection
0.112011
The round complexity of distributed sorting: extended abstract · PODC 2011
YearPublicationVenuePosition
2011 The round complexity of distributed sorting: extended abstract
abstract
We consider the model of fully connected networks, where in each round each node can send an O(log n)-bit message to each other node (this is the CONGEST model with diameter 1). It is known that in this model, min-weight spanning trees can be found in O(log log n) rounds. In this paper we show that distributed sorting, where each node has at most n items, can be done in time O(log log n) as well. It is also shown that selection can be done in O(1) time. (Using a concurrent result by Lenzen and Wattenhofer, the complexity of sorting is further reduced to constant.) Our algorithms are randomized, and the stated complexity bounds hold with high probability.
Boaz Patt-Shamir, Marat Teplitsky
PODC2