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Fast Iterative Graph Computation with Block Updates

Summary: Block-oriented computation model to scale iterative graph processing with light per-vertex workloads, mitigating memory-wall bottlenecks. A block-aware runtime preserves vertex-centric APIs while boosting cache efficiency and achieving notable speedups on large graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10874
Venue
VLDB
Year
2013
Pagerank
9.4965133e-05
Overall Rank
1,911 | 86.90%
DOI
10.14778/2556549.2556581

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{xie_vldb13,
        title = {{Fast Iterative Graph Computation with Block Updates}},
        author = {Xie, Wenlei and Wang, Guozhang and Bindel, David and Demers, Alan and Gehrke, Johannes},
        journal = {PVLDB},
        series = {{VLDB} '13},
        doi = {10.14778/2556549.2556581},
        url = {https://doi.org/10.14778/2556549.2556581},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0012250108
19 A Critique of ANSI SQL Isolation Levels 1995 SIGMOD 0.00058720861
20 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00056944564
455 Differential dataflow 2013 CIDR 0.00018133241
1,474 Asynchronous Large-Scale Graph Processing Made Easy 2013 CIDR 0.0001066385
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