FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems
Summary: FINEdex builds independent, fine-grained learned models on a flattened data layout to minimize data dependency and enable in-place, concurrent lookups. Non-blocking retraining avoids large delta-buffers, delivering up to 1.8x–2.5x speedups over XIndex and Masstree (open-source). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Pengfei Li (Huazhong University of Science and Technology; Wuhan University)
- 2. Yu Hua (Huazhong University of Science and Technology; Wuhan University)
- 3. Jingnan Jia (Huazhong University of Science and Technology; Wuhan University)
- 4. Pengfei Zuo (Huazhong University of Science and Technology; Wuhan University)
BibTeX Citation
@article{li_vldb22,
title = {{FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems}},
author = {Li, Pengfei and Hua, Yu and Jia, Jingnan and Zuo, Pengfei},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {2},
pages = {321--334},
doi = {10.14778/3489496.3489512},
url = {https://doi.org/10.14778/3489496.3489512},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 28 of 28 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,619 | BinDex: A Two-Layered Index for Fast and Robust Scans | 2020 | SIGMOD |
| 2 | 8,382 | Tuning Hierarchical Learned Indexes on Disk and Beyond | 2022 | SIGMOD |
| 3 | 10,188 | SWIX: A Memory-efficient Sliding Window Learned Index | 2024 | SIGMOD |
| 4 | 2,582 | Are Updatable Learned Indexes Ready? | 2022 | VLDB |
| 5 | 6,613 | Making In-Memory Learned Indexes Efficient on Disk | 2024 | SIGMOD |
| 6 | 5,950 | DEX: Scalable Range Indexing on Disaggregated Memory | 2024 | VLDB |
| 7 | 3,621 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB |
| 8 | 6,867 | Accelerating String-key Learned Index Structures via Memoization-based Incremental Training | 2024 | VLDB |
| 9 | 835 | Benchmarking Learned Indexes | 2021 | VLDB |
| 10 | 10,500 | On Self-Designing Learned Indexes | 2026 | SIGMOD |