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CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution

Summary: CoroGraph resolves the cache vs. work-efficiency tradeoff with a hybrid model: vertex-granular update messages to focus work and partition-granular commits to enable cache-friendly shared access. It uses C++ coroutines for prefetching to overlap random memory access, achieving up to 2x speedups. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13950
Venue
VLDB
Year
2024
Pagerank
7.2312616e-05
Overall Rank
3,642 | 75.02%
DOI
10.14778/3636218.3636240

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhi_vldb24,
        title = {{CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution}},
        author = {Zhi, Xiangyu and Yan, Xiao and Tang, Bo and Yin, Ziyao and Zhu, Yanchao and Zhou, Minqi},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {4},
        pages = {891--903},
        doi = {10.14778/3636218.3636240},
        url = {https://doi.org/10.14778/3636218.3636240},
        year = {2024}
}

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