Efficiently Compiling Efficient Query Plans for Modern Hardware
Summary: Novel compilation strategy translates a query into compact LLVM-compiled code, improving locality and branch predictability. Yields performance close to hand-written C++, integrated into HyPer with modest compilation time. (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 47 of 197 citing papers.
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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 14 | MonetDB/X100: Hyper-Pipelining Query Execution | 2005 | CIDR | 0.00063341086 |
| 29 | Database Architecture Optimized for the new Bottleneck: Memory Access | 1999 | VLDB | 0.00052586133 |
| 217 | SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units | 2009 | VLDB | 0.00024711302 |
| 625 | Adaptive Aggregation on Chip Multiprocessors | 2007 | VLDB | 0.00015743977 |
| 719 | Database Architecture Evolution: Mammals Flourished long before Dinosaurs became Extinct | 2009 | VLDB | 0.00014778429 |
| 761 | Conjunctive Selection Conditions in Main Memory | 2002 | PODS | 0.00014296243 |
| 1,281 | Managing Intra-operator Parallelism in Parallel Database Systems | 1995 | VLDB | 0.00011434488 |
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