Media Summary: PODC-2020 paper by Ghaffari, Mohsen; Nowicki, Krzysztof. Massively Parallel Algorithms for Minimum Peilin Zhong (Google) Extroverted Sublinear

Massively Parallel Algorithms For Minimum - Detailed Analysis & Overview

PODC-2020 paper by Ghaffari, Mohsen; Nowicki, Krzysztof. Massively Parallel Algorithms for Minimum Peilin Zhong (Google) Extroverted Sublinear APPROX: Massively Parallel Algorithms for Small Subgraph Counting CMU Theory Lunch Talk Speaker: Da Wei Zheng Date: May 8, 2024 Title: Fully Scalable DISC 2021 — 35th International Symposium on Distributed

Mohsen Ghaffari (Massachusetts Institute of Technology) ... Speaker: Lukas Gianinazzi Conference: PPoPP '18 Abstract: We present novel scalable Amartya Shankha Biswas, Michal Dory, Mohsen Ghaffari, Slobodan Mitrović and Yasamin Nazari

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Massively Parallel Algorithms for Minimum Cut
Massively Parallel Algorithms for Minimum Cut
A Massively Parallel Algorithm for Minimum Weight Vertex Cover
Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree
APPROX: Massively Parallel Algorithms for Small Subgraph Counting
Da Wei Zheng: Fully Scalable Massively Parallel Algorithms for Embedded Planar Graphs
Massively Parallel Algorithms and Hardness for Single-Linkage Clustering Under ℓp-Distances
BA: Memory Efficient Massively Parallel Algorithms for LCL Problems on Trees
An Introduction to Distributed, Massively Parallel, and Local Computation Algorithms
Fast Parallel Algorithms for Euclidean MST and Hierarchical Spatial Clustering (SIGMOD'21)
Communication-Avoiding Minimum Cuts and Connected Components
Massively Parallel Algorithms for Distance Approximation and Spanners
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Massively Parallel Algorithms for Minimum Cut

Massively Parallel Algorithms for Minimum Cut

PODC-2020 paper by Ghaffari, Mohsen; Nowicki, Krzysztof.

Massively Parallel Algorithms for Minimum Cut

Massively Parallel Algorithms for Minimum Cut

Massively Parallel Algorithms for Minimum

A Massively Parallel Algorithm for Minimum Weight Vertex Cover

A Massively Parallel Algorithm for Minimum Weight Vertex Cover

A

Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree

Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree

Peilin Zhong (Google) https://simons.berkeley.edu/talks/peilin-zhong-google-2024-06-17 Extroverted Sublinear

APPROX: Massively Parallel Algorithms for Small Subgraph Counting

APPROX: Massively Parallel Algorithms for Small Subgraph Counting

APPROX: Massively Parallel Algorithms for Small Subgraph Counting

Da Wei Zheng: Fully Scalable Massively Parallel Algorithms for Embedded Planar Graphs

Da Wei Zheng: Fully Scalable Massively Parallel Algorithms for Embedded Planar Graphs

CMU Theory Lunch Talk Speaker: Da Wei Zheng Date: May 8, 2024 Title: Fully Scalable

Massively Parallel Algorithms and Hardness for Single-Linkage Clustering Under ℓp-Distances

Massively Parallel Algorithms and Hardness for Single-Linkage Clustering Under ℓp-Distances

We present first

BA: Memory Efficient Massively Parallel Algorithms for LCL Problems on Trees

BA: Memory Efficient Massively Parallel Algorithms for LCL Problems on Trees

DISC 2021 — 35th International Symposium on Distributed

An Introduction to Distributed, Massively Parallel, and Local Computation Algorithms

An Introduction to Distributed, Massively Parallel, and Local Computation Algorithms

Mohsen Ghaffari (Massachusetts Institute of Technology) ...

Fast Parallel Algorithms for Euclidean MST and Hierarchical Spatial Clustering (SIGMOD'21)

Fast Parallel Algorithms for Euclidean MST and Hierarchical Spatial Clustering (SIGMOD'21)

Paper: https://arxiv.org/pdf/2104.01126.pdf This paper presents new

Communication-Avoiding Minimum Cuts and Connected Components

Communication-Avoiding Minimum Cuts and Connected Components

Speaker: Lukas Gianinazzi Conference: PPoPP '18 Abstract: We present novel scalable

Massively Parallel Algorithms for Distance Approximation and Spanners

Massively Parallel Algorithms for Distance Approximation and Spanners

Amartya Shankha Biswas, Michal Dory, Mohsen Ghaffari, Slobodan Mitrović and Yasamin Nazari

Fast Parallel Algorithms for Euclidean MST and Hierarchical Spatial Clustering - SIGMOD'21

Fast Parallel Algorithms for Euclidean MST and Hierarchical Spatial Clustering - SIGMOD'21

Paper: https://arxiv.org/abs/2104.01126 This paper presents new