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20162026
most citedMassively Parallel Symmetry Breaking on Sparse Graphs: MIS and Maximal Matching

12 citations · 29 across the 37 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.DS2019

Fully Dynamic Matching: Beating 2-Approximation in Update Time

Soheil Behnezhad, Jakub Łącki, Vahab Mirrokni

In fully dynamic graphs, we know how to maintain a 2-approximation of maximum matching extremely fast, that is, in polylogarithmic update time or better. In a sharp contrast and de…

cs.DS2019★ 1 cited

Near-Optimal Massively Parallel Graph Connectivity

Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari +2

Identifying the connected components of a graph, apart from being a fundamental problem with countless applications, is a key primitive for many other algorithms. In this paper, we…

cs.DS2019

Fully Dynamic Maximal Independent Set with Polylogarithmic Update Time

Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi +2

We present the first algorithm for maintaining a maximal independent set (MIS) of a fully dynamic graph---which undergoes both edge insertions and deletions---in polylogarithmic ti…

cs.DC2019

Massively Parallel Computation via Remote Memory Access

Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari +3

We introduce the Adaptive Massively Parallel Computation (AMPC) model, which is an extension of the Massively Parallel Computation (MPC) model. At a high level, the AMPC model stre…

cs.GT2019★ 4 cited

Optimal Strategies of Blotto Games: Beyond Convexity

Soheil Behnezhad, Avrim Blum, Mahsa Derakhshan +3

The Colonel Blotto game, first introduced by Borel in 1921, is a well-studied game theory classic. Two colonels each have a pool of troops that they divide simultaneously among a s…

cs.DS2019

Exponentially Faster Massively Parallel Maximal Matching

Soheil Behnezhad, MohammadTaghi Hajiaghayi, David G. Harris

The study of approximate matching in the Massively Parallel Computations (MPC) model has recently seen a burst of breakthroughs. Despite this progress, however, we still have a far…