SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units
Summary: SIMD-Scan accelerates compressed column-store scans using on-chip SIMD units in commodity CPUs, avoiding GPUs/FPGAs, hardware changes, and data copies. An SSE implementation in SAP BW demonstrates substantial speedups and analyzes multicore scaling. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Thomas Willhalm (Intel)
- 2. Nicolae Popovici (Intel)
- 3. Yazan Boshmaf (SAP)
- 4. Hasso Plattner (Hasso-Plattner-Institute; University of Potsdam)
- 5. Alexander Zeier (Hasso-Plattner-Institute; University of Potsdam)
- 6. Jan Schaffner (Hasso-Plattner-Institute; University of Potsdam)
BibTeX Citation
@article{willhalm_vldb09,
title = {{SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units}},
author = {Willhalm, Thomas and Popovici, Nicolae and Boshmaf, Yazan and Plattner, Hasso and Zeier, Alexander and Schaffner, Jan},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687627.1687671},
url = {https://doi.org/10.14778/1687627.1687671},
year = {2009}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 59 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 293 | Implementing Database Operations Using SIMD Instructions | 2002 | SIGMOD | 0.00022259273 |
| 630 | Performance Tradeoffs in Read-Optimized Databases | 2006 | VLDB | 0.00015591796 |
| 696 | Main-Memory Scan Sharing For Multi-Core CPUs | 2008 | VLDB | 0.00014891322 |
| 1,450 | Row-wise Parallel Predicate Evaluation | 2008 | VLDB | 0.00010746714 |
| 1,950 | How to Barter Bits for Chronons: Compression and Bandwidth Trade Offs for Database Scans | 2007 | SIGMOD | 9.4271737e-05 |
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