SIDLE: Tree-structure Aware Indexes for CXL-based Heterogeneous Memory
Summary: SIDLE: CXL-native, node-grained placement for tree indexes on heterogeneous memory, aligning tree structure with CXL-HM semantics; unlike page-level HM schemes, adapts B+/radix trees via lightweight integration. Up to 71% throughput and 81% P99 gains over MEMTIS/PACTree. (summarized by gpt-5.4-mini on May 27 2026)
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Authors
- 1. Haoru Zhao (Shanghai Jiao Tong University)
- 2. Mingkai Dong (Shanghai Jiao Tong University)
- 3. Fangnuo Wu (Shanghai Jiao Tong University)
- 4. Haibo Chen (Shanghai Jiao Tong University)
BibTeX Citation
@article{zhao_vldb26,
title = {{SIDLE: Tree-structure Aware Indexes for CXL-based Heterogeneous Memory}},
author = {Zhao, Haoru and Dong, Mingkai and Wu, Fangnuo and Chen, Haibo},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {7},
pages = {1499--1515},
doi = {10.14778/3801059.3801065},
url = {https://doi.org/10.14778/3801059.3801065},
year = {2026}
}
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