Lecture

Graph Pattern Matching: Work-sharing

Description

This lecture covers the optimization of graph pattern matching through work-sharing techniques, including transitioning from sequential to parallel matching, addressing load imbalance, and utilizing work-stealing strategies. It also discusses experimental setups, such as the Social Network Benchmark, and emphasizes the importance of context-aware parallelization and node dependencies in pattern mining at scale.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.