On Parallel Execution Of Multiple Pipelined Hash Joins
Summary: Parallel execution of multiple pipelined hash joins; transforms a bushy execution tree into an allocation tree to allocate processors by synchronous execution time, balancing inner hash-table availability. Hash filtering is explored to boost throughput; simulations show allocation-tree schemes outperform bushy-tree, with filters becoming more beneficial as the number of relations grows. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hui-I Hsiao
- 2. Ming-Syan Chen
- 3. Philip S. Yu
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,303 | Parallel evaluation of multi-join queries | 1995 | SIGMOD | 9.066178e-05 |
| 2,417 | Dynamic Load Balancing in Hierarchical Parallel Database Systems | 1996 | VLDB | 8.8604775e-05 |
| 2,459 | Multi-dimensional Resource Scheduling for Parallel Queries | 1996 | SIGMOD | 8.7676516e-05 |
| 3,124 | Parallel Query Scheduling and Optimization with Time- and Space-Shared Resources | 1997 | VLDB | 7.5201555e-05 |
| 5,194 | Bitvector-aware Query Optimization for Decision Support Queries | 2020 | SIGMOD | 5.6368209e-05 |
| 9,937 | Rethink Query Optimization in HTAP Databases | 2023 | SIGMOD | 4.2482599e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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