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Accelerating Truss Decomposition on Heterogeneous Processors

Summary: Accelerates in-memory truss decomposition on billion-edge graphs via CPU–GPU co-processing, with compacted intermediates and data-skew-aware triangle enumeration. Runtime strategy selects peeling versus direct triangle counting to reach the target k-truss, delivering up to 10× speedups over the state-of-the-art; code publicly available. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12078
Venue
VLDB
Year
2020
Pagerank
7.3118793e-05
Overall Rank
3,634 | 74.75%
DOI
10.14778/3401960.3401971

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