Media Summary: ADGA 2020 — Workshop on Advances in Distributed Guy Blelloch (Carnegie Mellon University) Lukas Gianinazzi, Maciej Besta, Yannick Schaffner and Torsten Hoefler

Parallelized Algorithms For Massive Graphs - Detailed Analysis & Overview

ADGA 2020 — Workshop on Advances in Distributed Guy Blelloch (Carnegie Mellon University) Lukas Gianinazzi, Maciej Besta, Yannick Schaffner and Torsten Hoefler (By Laxman Dhulipala, UMD and Google.) It is now possible to build multi-core servers equipped with dozens of terabytes, to even ... Laxman Dhulipala (University of Maryland) Makrand Sinha, University of Washington Information Theory in Complexity Theory and Combinatorics ...

Project & Seminar, ETH Zürich, Fall 2021 Hands-on Acceleration on Heterogeneous Computing Systems ... Abstract: This talk will cover some new advances in recent Lingxiao Ma and Zhi Yang, Peking University; Youshan Miao, Jilong Xue, Ming Wu, and Lidong Zhou, Microsoft Research; Yafei ... During this last session of the course, our focus lies on

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Parallelized Algorithms for Massive Graphs (ft. Slobodan Mitrović)
The Current Landscape of Massively Parallel Algorithms for Graphs (Krzysztof Onak)
Parallelism in Dynamic Graph Algorithms
Parallel Algorithms for Finding Large Cliques in Sparse Graphs
Scaling Parallel Algorithms to Massive Datasets using Multi-SSD Machines
Scaling Parallel Algorithms to Massive Datasets using Multi-SSD Machines
On Parallelizing Streaming Algorithms
Scalable Graph-Parallel Inference Algorithms and Systems
Heterogeneous Systems Course: Meeting 11: Parallel Patterns: Graph Search (Fall 2021)
Recent Advances for Parallel Graph Algorithms
USENIX ATC '19 - NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
Lesson 26: Introduction to Algorithms by Mohammad Hajiaghayi: Parallel Algorithms for Massive Data
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Parallelized Algorithms for Massive Graphs (ft. Slobodan Mitrović)

Parallelized Algorithms for Massive Graphs (ft. Slobodan Mitrović)

Today's information is often stored on

The Current Landscape of Massively Parallel Algorithms for Graphs (Krzysztof Onak)

The Current Landscape of Massively Parallel Algorithms for Graphs (Krzysztof Onak)

ADGA 2020 — Workshop on Advances in Distributed

Parallelism in Dynamic Graph Algorithms

Parallelism in Dynamic Graph Algorithms

Guy Blelloch (Carnegie Mellon University) https://simons.berkeley.edu/talks/guy-blelloch-carnegie-mellon-university-2023-09-18 ...

Parallel Algorithms for Finding Large Cliques in Sparse Graphs

Parallel Algorithms for Finding Large Cliques in Sparse Graphs

Lukas Gianinazzi, Maciej Besta, Yannick Schaffner and Torsten Hoefler

Scaling Parallel Algorithms to Massive Datasets using Multi-SSD Machines

Scaling Parallel Algorithms to Massive Datasets using Multi-SSD Machines

(By Laxman Dhulipala, UMD and Google.) It is now possible to build multi-core servers equipped with dozens of terabytes, to even ...

Scaling Parallel Algorithms to Massive Datasets using Multi-SSD Machines

Scaling Parallel Algorithms to Massive Datasets using Multi-SSD Machines

Laxman Dhulipala (University of Maryland) https://simons.berkeley.edu/talks/laxman-dhulipala-university-maryland-2025-10-22 ...

On Parallelizing Streaming Algorithms

On Parallelizing Streaming Algorithms

Makrand Sinha, University of Washington Information Theory in Complexity Theory and Combinatorics ...

Scalable Graph-Parallel Inference Algorithms and Systems

Scalable Graph-Parallel Inference Algorithms and Systems

Joseph Gonzalez, UC Berkeley

Heterogeneous Systems Course: Meeting 11: Parallel Patterns: Graph Search (Fall 2021)

Heterogeneous Systems Course: Meeting 11: Parallel Patterns: Graph Search (Fall 2021)

Project & Seminar, ETH Zürich, Fall 2021 Hands-on Acceleration on Heterogeneous Computing Systems ...

Recent Advances for Parallel Graph Algorithms

Recent Advances for Parallel Graph Algorithms

Abstract: This talk will cover some new advances in recent

USENIX ATC '19 - NeuGraph: Parallel Deep Neural Network Computation on Large Graphs

USENIX ATC '19 - NeuGraph: Parallel Deep Neural Network Computation on Large Graphs

Lingxiao Ma and Zhi Yang, Peking University; Youshan Miao, Jilong Xue, Ming Wu, and Lidong Zhou, Microsoft Research; Yafei ...

Lesson 26: Introduction to Algorithms by Mohammad Hajiaghayi: Parallel Algorithms for Massive Data

Lesson 26: Introduction to Algorithms by Mohammad Hajiaghayi: Parallel Algorithms for Massive Data

During this last session of the course, our focus lies on

A&DS S04E14. Parallel Algorithms

A&DS S04E14. Parallel Algorithms

Algorithms