CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm
Summary: CARMI exposes data partitioning as the key to practical learned indexes, using entropy and a cost model to automatically choose RMI structures and models. Its cache-aware design reduces memory accesses, delivering strong speedups with less memory than B+ trees and ALEX. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiaoyi Zhang (Tsinghua University)
- 2. Yihan Gao (Tsinghua University)
BibTeX Citation
@article{zhang_vldb22,
title = {{CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm}},
author = {Zhang, Jiaoyi and Gao, Yihan},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2679--2691},
doi = {10.14778/3551793.3551823},
url = {https://doi.org/10.14778/3551793.3551823},
year = {2022}
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