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Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory

Summary: Single-machine graph analytics on massive graphs with Intel Optane DC PMM; key runtime and algorithmic principles. Evaluates four shared-memory plus one out-of-core framework on real-world graphs; principled designs outperform peers and rival production-cluster setups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12045
Venue
VLDB
Year
2020
Pagerank
7.0071573e-05
Overall Rank
3,525 | 75.51%
DOI
10.14778/3389133.3389145

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Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
4 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0019040811
1,649 Managing Non-Volatile Memory in Database Systems 2018 SIGMOD 0.00011006201
1,835 Write-Behind Logging 2017 VLDB 0.00010356306
8,250 A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms 2019 VLDB 4.5448177e-05
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