Efficiently Searching In-Memory Sorted Arrays: Revenge of the Interpolation Search?
Summary: Proposes SIP and TIP, in-memory search for sorted arrays with slope-based and three-point interpolation to beat Binary Search. Adds a meta-algorithm to auto-switch among SIP, TIP, and Binary Search, yielding up to 4x/2-3x speedups on varied data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Peter Van Sandt (University of Wisconsin)
- 2. Yannis Chronis (University of Wisconsin)
- 3. Jignesh M. Patel (University of Wisconsin)
BibTeX Citation
@inproceedings{sandt_sigmod19,
title = {{Efficiently Searching In-Memory Sorted Arrays: Revenge of the Interpolation Search?}},
author = {Van Sandt, Peter and Chronis, Yannis and Patel, Jignesh M.},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300075},
url = {https://dl.acm.org/doi/10.1145/3299869.3300075},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 37 | Improved Histograms for Selectivity Estimation of Range Predicates | 1996 | SIGMOD | 0.00047654188 |
| 40 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00046249672 |
| 360 | Design and Evaluation of Main Memory Hash Join Algorithms for Multi-core CPUs | 2011 | SIGMOD | 0.00019959166 |
| 1,086 | On B-tree Indices for Skewed Distributions | 1992 | VLDB | 0.00012069306 |
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