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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)

Paper ID
5668
Venue
SIGMOD
Year
2019
Pagerank
8.9255716e-05
Overall Rank
2,222 | 84.76%
DOI
10.1145/3299869.3300075

Incoming Non-self Citations Over Time

Authors

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}
}

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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
35 Improved Histograms for Selectivity Estimation of Range Predicates 1996 SIGMOD 0.00048481081
43 The Case for Learned Index Structures 2018 SIGMOD 0.00046060254
360 Design and Evaluation of Main Memory Hash Join Algorithms for Multi-core CPUs 2011 SIGMOD 0.00020182846
1,059 On B-tree Indices for Skewed Distributions 1992 VLDB 0.00012377809
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