Efficiently Compiling Efficient Query Plans for Modern Hardware
Summary: Introduces LLVM-based compilation of queries into compact machine code optimized for locality and predictable branches, overcoming iterator/vectorization overheads. Integrated in HyPer, it approaches hand-written C++ performance with modest compilation time. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Thomas Neumann (Technical University of Munich)
BibTeX Citation
@article{neumann_vldb11,
title = {{Efficiently Compiling Efficient Query Plans for Modern Hardware}},
author = {Neumann, Thomas},
journal = {PVLDB},
series = {{VLDB} '11},
volume = {4},
number = {9},
pages = {539--550},
doi = {10.14778/2002938.2002944},
url = {https://doi.org/10.14778/2002938.2002944},
year = {2011}
}Incoming Citations (Sorted by Pagerank)
Showing 16 of 216 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 | 0.00064031282 |
| 27 | Database Architecture Optimized for the New Bottleneck: Memory Access | 1999 | VLDB | 0.0005158963 |
| 219 | SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units | 2009 | VLDB | 0.00024363532 |
| 626 | Adaptive Aggregation on Chip Multiprocessors | 2007 | VLDB | 0.00015473276 |
| 702 | Database Architecture Evolution: Mammals Flourished long before Dinosaurs became Extinct | 2009 | VLDB | 0.00014673738 |
| 761 | Conjunctive Selection Conditions in Main Memory | 2002 | PODS | 0.00014143602 |
| 1,271 | Managing Intra-operator Parallelism in Parallel Database Systems | 1995 | VLDB | 0.00011252507 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,723 | Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization | 2026 | VLDB |
| 2 | 289 | Optimization of Dynamic Query Evaluation Plans | 1994 | SIGMOD |
| 3 | 605 | Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask | 2018 | VLDB |
| 4 | 5,455 | Evolution of a Compiling Query Engine | 2021 | VLDB |
| 5 | 13,932 | Errata for "Building Efficient Query Engines in a High-Level Language" | 2014 | VLDB |
| 6 | 8,207 | Architecting a Query Compiler for Spatial Workloads | 2020 | SIGMOD |
| 7 | 1,742 | How to Architect a Query Compiler | 2016 | SIGMOD |
| 8 | 1,533 | Pipelined Query Processing in Coprocessor Environments | 2018 | SIGMOD |
| 9 | 2,419 | How to Architect a Query Compiler, Revisited | 2018 | SIGMOD |
| 10 | 495 | Building Efficient Query Engines in a High-Level Language | 2014 | VLDB |