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Making In-Memory Learned Indexes Efficient on Disk
Summary: Shows how to adapt in-memory learned indexes to disk via six generic transformations/optimizations tailored to storage behavior. The resulting indexes Pareto-dominate B+trees and prior disk learned indexes in throughput and space efficiency.
(summarized by gpt-5.4-mini on May 24 2026)
Paper ID
h5331e06785d62d6a
Venue
SIGMOD
Year
2024
Pagerank
5.7326443e-05
Overall Rank
6,613 | 55.56%
DOI
10.1145/3654954
Incoming Non-self Citations Over Time
BibTeX Citation
Copy BibTeX
@inproceedings{zhang_sigmod24,
title = {{Making In-Memory Learned Indexes Efficient on Disk}},
author = {Zhang, Jiaoyi and Su, Kai and Zhang, Huanchen},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654954},
url = {https://dl.acm.org/doi/10.1145/3654954},
year = {2024}
}
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