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)
Incoming Non-self Citations Over Time
Authors
- 1. Wenlei Xie (Cornell University)
- 2. Guozhang Wang (Cornell University)
- 3. David Bindel (Cornell University)
- 4. Alan Demers (Cornell University)
- 5. Johannes Gehrke (Cornell University)
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)
Showing 10 of 10 citing papers.
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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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