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Divide & Conquer: I/O Efficient Depth-First Search

Summary: IO-efficient semi-external DFS on disk graphs via divide-and-conquer: split G into subgraphs, compute local DFS trees in memory, then merge to a global DFS-Tree. Proposes Divide-Star and Divide-TD schemes with a merge, validates correctness, and demonstrates I/O gains on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5022
Venue
SIGMOD
Year
2015
Pagerank
5.2247222e-05
Overall Rank
9,759 | 33.05%
DOI
10.1145/2723372.2723740

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod15,
        title = {{Divide \& Conquer: I/O Efficient Depth-First Search}},
        author = {Zhang, Zhiwei and Yu, Jeffrey Xu and Qin, Lu and Shang, Zechao},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2723740},
        url = {https://dl.acm.org/doi/10.1145/2723372.2723740},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,535 I/O Efficient ECC Graph Decomposition via Graph Reduction 2016 VLDB 5.8486743e-05
9,625 I/O Efficient Label-Constrained Reachability Queries in Large Graphs 2024 VLDB 5.2434488e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
12,239 I/O Efficient: Computing SCCs in Massive Graphs 2013 SIGMOD 5.093636e-05
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