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Performance Analysis of a Load Balancing Hash-Join Algorithm for a Shared Memory Multiprocessor

Summary: Load-balanced hash-join for shared-everything multiprocessors that balances per-bucket work to tame data-skew in parallel joins. Presents an analytical cost model, implements the approach, and validates model vs. measurements on a shared-memory machine, highlighting performance predictability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8026
Venue
VLDB
Year
1991
Pagerank
6.1635864e-05
Overall Rank
4,460 | 68.98%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
588 Practical Skew Handling in Parallel Joins 1992 VLDB 0.00019604754
3,899 Using Shared Virtual Memory for Parallel Join Processing 1993 SIGMOD 6.6538884e-05
4,214 Dynamic Multi-Resource Load Balancing in Parallel Database Systems 1995 VLDB 6.3541e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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