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

Summary: ConnectIt provides a framework of diverse sampling and tree-linking/compression strategies to generate hundreds of static and incremental parallel graph connectivity variants. A 72-core study reports 12.4x average speedup over static baselines, sub-10s connectivity on a 3.5B-vertex / 128B-edge graph, and billions-edge/sec incremental throughput, with guidance for variant selection and MSF/SCAN extensions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12583
Venue
VLDB
Year
2021
Pagerank
4.6308128e-05
Overall Rank
7,871 | 45.25%
DOI
10.14778/3436905.3436923

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