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Parallel Algorithms For Local Problems In Sparse Graphs Information Guide

  1. Background of Parallel Algorithms For Local Problems In Sparse Graphs
  2. Main Features
  3. Recent Updates
  4. Deep Dive
  5. Conclusion

Background of Parallel Algorithms For Local Problems In Sparse Graphs

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Main Features

Verified Spread of Information and Diseases via Random Walks in Sparse Graphs System Hub
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Recent Updates

Fast Nonlinear Least Squares Optimization of Large Scale Semi Sparse Problems System Hub
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Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs
Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs
Heterogeneous Systems Course: Meeting 11: Parallel Patterns: Graph Search (Fall 2021)
Heterogeneous Systems Course: Meeting 11: Parallel Patterns: Graph Search (Fall 2021)
013. Limits of local algorithms for sparse random graphs - David Gamarnik
013. Limits of local algorithms for sparse random graphs - David Gamarnik
Blelloch Scan - Intro to Parallel Programming
Blelloch Scan - Intro to Parallel Programming
Reducing Communication in Parallel Graph Computations; Aydin Buluc
Reducing Communication in Parallel Graph Computations; Aydin Buluc
Low-Span Parallel Algorithms for the Binary-Forking Model
Low-Span Parallel Algorithms for the Binary-Forking Model
A Work-Efficient Algorithm for Parallel Unordered Depth-First Search
A Work-Efficient Algorithm for Parallel Unordered Depth-First Search
Kernelization in Sparse Graph Classes
Kernelization in Sparse Graph Classes
A Parallel and Primal-Dual Sparse Method for Extreme Classification
A Parallel and Primal-Dual Sparse Method for Extreme Classification
Lecture 11:  Parallel Algorithms
Lecture 11: Parallel Algorithms
Local Computation Algorithms
Local Computation Algorithms

Deep Dive

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Last Updated: August 15, 2026

Conclusion

Verified Improved MPC Algorithms for MIS, Matching, and Coloring on Trees and Beyond Creator Profile
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