Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask
Summary: Apples-to-apples comparison of vectorized and data-centric query processing in a single system. Vectorization hides cache-miss latency; data-centric compilation uses fewer instructions for cache-resident workloads, with SIMD and multi-core effects analyzed. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Timo Kersten (Technical University of Munich)
- 2. Viktor Leis (Technical University of Munich)
- 3. Alfons Kemper (Technical University of Munich)
- 4. Thomas Neumann (Technical University of Munich)
- 5. Andrew Pavlo (Carnegie Mellon University)
- 6. Peter Boncz (Centrum Wiskunde & Informatica)
BibTeX Citation
@article{kersten_vldb18,
title = {{Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask}},
author = {Kersten, Timo and Leis, Viktor and Kemper, Alfons and Neumann, Thomas and Pavlo, Andrew and Boncz, Peter},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {13},
pages = {2209--2222},
doi = {10.14778/3275366.3275370},
url = {https://doi.org/10.14778/3275366.3275370},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 10 of 60 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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