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Parallel Graph Algorithms in Constant Adaptive Rounds: Theory meets Practice

Summary: First constant-round AMPC algorithms for connectivity, MSF, and approximate weighted matching with O(n^ε) memory per machine, improving MPC and prior AMPC bounds. Large-scale experiments show practical speed and round-count gains over optimized MPC baselines. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12427
Venue
VLDB
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,825 | 18.87%
DOI
10.14778/3424573.3424579

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Authors

BibTeX Citation

@article{behnezhad_vldb20,
        title = {{Parallel Graph Algorithms in Constant Adaptive Rounds: Theory meets Practice}},
        author = {Behnezhad, Soheil and Dhulipala, Laxman and Esfandiari, Hossein and Łącki, Jakub and Mirrokni, Vahab and Schudy, Warren},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {13},
        pages = {3588--3602},
        doi = {10.14778/3424573.3424579},
        url = {https://doi.org/10.14778/3424573.3424579},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
7,862 ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms 2021 VLDB 5.5302333e-05
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