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ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms

Summary: ConnectIt systematically combines sampling, tree-linking, and compression into hundreds of static and concurrent incremental connectivity variants. On 72 cores, it delivers 12.4× average speedups, processes a 3.5B-vertex graph in under 10 seconds, and ingests billions of edges/s. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12771
Venue
VLDB
Year
2021
Pagerank
5.5302333e-05
Overall Rank
7,862 | 46.07%
DOI
10.14778/3436905.3436923

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{dhulipala_vldb21,
        title = {{ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms}},
        author = {Dhulipala, Laxman and Hong, Changwan and Shun, Julian},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {4},
        pages = {653--667},
        doi = {10.14778/3436905.3436923},
        url = {https://doi.org/10.14778/3436905.3436923},
        year = {2021}
}

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