YoVDO

Parallel Algorithms for Local Problems in Sparse Graphs

Offered By: Simons Institute via YouTube

Tags

Parallel Algorithms Courses Graph Theory Courses Distributed Algorithms Courses Sublinear Algorithms Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 36-minute lecture on parallel algorithms for local problems in sparse graphs, presented by Jara Uitto from Aalto University at the Simons Institute. Delve into the challenges of locally checkable problems like vertex coloring and maximal independent set (MIS) in the context of massively parallel computation. Examine the standard technique of graph sparsification and its limitations, particularly for MIS problems. Focus on algorithmic approaches for already sparse graphs, where traditional sparsification becomes irrelevant yet many problems remain computationally challenging. Discover tailored techniques for sparse graphs, with special emphasis on optimizing total space usage in algorithms. Gain insights into the evolving landscape of sublinear graph simplification and its implications for parallel algorithm design.

Syllabus

Parallel Algorithms for Local Problems in Sparse Graphs


Taught by

Simons Institute

Related Courses

Sampling-Based Sublinear Low-Rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning
Association for Computing Machinery (ACM) via YouTube
Sublinear Algorithms for Gap Edit Distance
IEEE via YouTube
High Dimensional Robust Sparse Regression
Simons Institute via YouTube
Learning-Augmented Sketches for Frequency Estimation
Simons Institute via YouTube
Adaptive Sparse Recovery with Limited Adaptivity
Simons Institute via YouTube