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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
4960
Venue
SIGMOD
Year
2015
Pagerank
4.314762e-05
Overall Rank
9,626 | 33.04%
DOI
10.1145/2723372.2723740

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,346 I/O Efficient ECC Graph Decomposition via Graph Reduction 2016 VLDB 4.7556749e-05
9,483 I/O Efficient Label-Constrained Reachability Queries in Large Graphs 2024 VLDB 4.3341665e-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
12,041 I/O Efficient: Computing SCCs in Massive Graphs 2013 SIGMOD 4.1945683e-05
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