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ParLeiden: Boosting Parallelism of Distributed Leiden Algorithm on Large-Scale Graphs
DescriptionLeiden algorithm has demonstrated superior efficacy compared to traditional Louvain algorithms in the field of community detection. However, parallelizing the Leiden algorithm while imposing community size limitations brings significant challenges in big data processing scenarios. We present ParLeiden, a pioneering parallel Leiden strategy designed for distributed environments. By thread locks and efficient buffers, we effectively resolve community joining conflicts and reduce communication overheads. We can run Leiden algorithm on large-scale graphs and achieve performance speedup on up to 9.8 times than baselines.
Event Type
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Doctoral Showcase
Posters
Research Posters
Scientific Visualization & Data Analytics Showcase
TimeTuesday, 14 November 20235:15pm - 7pm MST
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TP