A Scalable Distributed Graph Partitioner
Summary: Sheep is a scalable distributed graph partitioner for graphs beyond main memory, faster than METIS and Fennel. Maps graph to elimination tree via distributed map-reduce; partitioning this tree bounds internode comm. and is input-distribution agnostic. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Margo (Harvard University)
- 2. Margo Seltzer (Harvard University)
BibTeX Citation
@article{margo_vldb15,
title = {{A Scalable Distributed Graph Partitioner}},
author = {Margo, Daniel and Seltzer, Margo},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1478--1489},
doi = {10.14778/2824032.2824052},
url = {https://doi.org/10.14778/2824032.2824052},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 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 |
| 259 | Database Cracking | 2007 | CIDR | 0.00023119313 |
| 1,654 | Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets | 2014 | SIGMOD | 0.00010104703 |
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