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)
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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 |
|---|---|---|---|---|
| 63 | Improved Histograms for Selectivity Estimation of Range Predicates | 1996 | SIGMOD | 0.00063595699 |
| 101 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049778866 |
| 538 | Design and Evaluation of Main Memory Hash Join Algorithms for Multi-core CPUs | 2011 | SIGMOD | 0.00020632609 |
| 639 | On B-tree Indices for Skewed Distributions | 1992 | VLDB | 0.00018782897 |
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