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arXiv · 2606.13321

Skiplists with Foresight: Skipping Cache Misses

Tomer Cory·Niv Sulimany·Erez Petrank
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Abstract

A skiplist is a fundamental data structure widely used in systems and applications for indexing data stores. In this work, we introduce Foresight, a cache-friendly skiplist optimization. Extending Foresight to concurrent settings introduces significant synchronization challenges that we identify and address. Foresight is a surgical optimization, easy to integrate into a wide variety of skiplist designs. We apply it to one sequential and three concurrent skiplist designs and observe throughput improvements of up to 45% in microbenchmarks. When applied to a skiplist-based index in the DBx1000 in-memory database, Foresight yields end-to-end performance gains of up to 15%.

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Tomer Cory, Niv Sulimany, Erez Petrank. 2026-06-11. Skiplists with Foresight: Skipping Cache Misses. https://arxiv.org/abs/2606.13321

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