Using Shared Virtual Memory for Parallel Join Processing
Summary: Shared virtual memory on shared-nothing multiprocessors enables parallel join algorithms that outperform prior work. Two SVM-based variants, evaluated, merge SVM with data-flow style and need only minor changes to existing shared-nothing DB systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,915 | Handling Data Skew in Parallel Joins in Shared-Nothing Systems | 2008 | SIGMOD | 0.00010104123 |
| 2,417 | Dynamic Load Balancing in Hierarchical Parallel Database Systems | 1996 | VLDB | 8.8604775e-05 |
| 3,893 | Estimation of Query-Result Distribution and its Application in Parallel-Join Load Balancing | 1996 | VLDB | 6.6584217e-05 |
| 4,132 | Advanced Join Strategies for Large-Scale Distributed Computation | 2014 | VLDB | 6.4241067e-05 |
| 5,568 | Efficient outer join data skew handling in parallel DBMS | 2009 | VLDB | 5.4301489e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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