Media Summary: Speaker: Tal Ben-Nun Conference: IPDPS'18 Abstract: This 30 minute webinar introduces Gurobi's capabilities relating to Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning ...

Optimizing Parallel Graph Connectivity Computation - Detailed Analysis & Overview

Speaker: Tal Ben-Nun Conference: IPDPS'18 Abstract: This 30 minute webinar introduces Gurobi's capabilities relating to Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning ... This video presents the parallelisation of the basic dominant-edge algorithm for Abstract: With the rapid growth of the internet, many TigerGraph and Expero teach you to: -Build a unique subgraph for each individual product -Shape demand in response to ...

This video is part of an online course, Intro to Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari, Jakub Łącki, Vahab Mirrokni. MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Julian Shun View the complete course: ... This video shows how communication can be reduced by sending a motivation along with a rejection of a proposal. Furtheemore ...

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Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling
Three Goals in Parallel Graph Computations: High Performance, High Productivity, and Reduced Comm...
Parallel and Distributed Optimization with Gurobi
Parallel Graph Algorithms
Parallel Batch-Dynamic Graph Algorithms
Soledad Villar: "Graph neural networks for combinatorial optimization problems"
Parallel graph matching
Cliff Liu: Sublinear Time Algorithms for Graph Problems
Webinar: Improve Supply Chain Performance using a Native Parallel Graph
Optimizing Compute Performance - Intro to Parallel Programming
Near Optimal Massively Parallel Graph Connectivity
22. Graph Optimization
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Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling

Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling

Speaker: Tal Ben-Nun Conference: IPDPS'18 Abstract:

Three Goals in Parallel Graph Computations: High Performance, High Productivity, and Reduced Comm...

Three Goals in Parallel Graph Computations: High Performance, High Productivity, and Reduced Comm...

Three Goals in

Parallel and Distributed Optimization with Gurobi

Parallel and Distributed Optimization with Gurobi

This 30 minute webinar introduces Gurobi's capabilities relating to

Parallel Graph Algorithms

Parallel Graph Algorithms

Jeremy Fineman (Georgetown University) https://simons.berkeley.edu/talks/jeremy-fineman-georgetown-university-2025-10-23 ...

Parallel Batch-Dynamic Graph Algorithms

Parallel Batch-Dynamic Graph Algorithms

Julian Shun (MIT) https://simons.berkeley.edu/talks/julian-shun-mit-2023-09-22 Dynamic

Soledad Villar: "Graph neural networks for combinatorial optimization problems"

Soledad Villar: "Graph neural networks for combinatorial optimization problems"

Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning ...

Parallel graph matching

Parallel graph matching

This video presents the parallelisation of the basic dominant-edge algorithm for

Cliff Liu: Sublinear Time Algorithms for Graph Problems

Cliff Liu: Sublinear Time Algorithms for Graph Problems

Abstract: With the rapid growth of the internet, many

Webinar: Improve Supply Chain Performance using a Native Parallel Graph

Webinar: Improve Supply Chain Performance using a Native Parallel Graph

TigerGraph and Expero teach you to: -Build a unique subgraph for each individual product -Shape demand in response to ...

Optimizing Compute Performance - Intro to Parallel Programming

Optimizing Compute Performance - Intro to Parallel Programming

This video is part of an online course, Intro to

Near Optimal Massively Parallel Graph Connectivity

Near Optimal Massively Parallel Graph Connectivity

Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari, Jakub Łącki, Vahab Mirrokni.

22. Graph Optimization

22. Graph Optimization

MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Julian Shun View the complete course: ...

Reducing communication in parallel graph matching

Reducing communication in parallel graph matching

This video shows how communication can be reduced by sending a motivation along with a rejection of a proposal. Furtheemore ...