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Accelerating String-key Learned Index Structures via Memoization-based Incremental Training

Summary: SIA accelerates variable-length string-key learned-index retraining via memoized incremental matrix decomposition, recomputing only updated keys and reusing prior results. FPGA offloading further boosts training and query throughput, achieving 2.6–3.4× gains over ALEX, LIPP, and SIndex. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hf96f630b38ec9487
Venue
VLDB
Year
2024
Pagerank
5.6607844e-05
Overall Rank
6,863 | 53.86%
DOI
10.14778/3659437.3659439

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kim_vldb24,
        title = {{Accelerating String-key Learned Index Structures via Memoization-based Incremental Training}},
        author = {Kim, Minsu and Hwang, Jinwoo and Heo, Guseul and Cho, Seiyeon and Mahajan, Divya and Park, Jongse},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {8},
        pages = {1802--1815},
        doi = {10.14778/3659437.3659439},
        url = {https://doi.org/10.14778/3659437.3659439},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 29 of 29 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
430 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018409112
463 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017804544
779 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.00014030069
848 Benchmarking Learned Indexes 2021 VLDB 0.00013506188
868 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013354403
1,191 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011590153
1,446 LISA: A Learned Index Structure for Spatial Data 2020 SIGMOD 0.00010629222
1,550 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010282449
2,277 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.7075835e-05
2,664 Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores 2020 SIGMOD 8.1569551e-05
2,866 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.9258875e-05
3,206 CDFShop: Exploring and Optimizing Learned Index Structures 2020 SIGMOD 7.5397402e-05
3,232 TreeLine: An Update-In-Place Key-Value Store for Modern Storage 2023 VLDB 7.50343e-05
3,697 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.0882335e-05
3,737 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 7.0628666e-05
3,803 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0127652e-05
4,375 DILI: A Distribution-Driven Learned Index 2023 VLDB 6.6292167e-05
4,508 NFL: Robust Learned Index via Distribution Transformation 2022 VLDB 6.5704964e-05
4,641 PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery 2023 VLDB 6.4899953e-05
4,711 Learned Index Benefits: Machine Learning Based Index Performance Estimation 2022 VLDB 6.4573842e-05
4,721 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 6.4541703e-05
5,537 Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices 2023 SIGMOD 6.0919359e-05
5,571 FILM: a Fully Learned Index for Larger-than-Memory Databases 2023 VLDB 6.080267e-05
6,595 LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves 2023 VLDB 5.7413481e-05
7,322 LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval 2023 VLDB 5.5533524e-05
8,196 WISK: A Workload-aware Learned Index for Spatial Keyword Queries 2023 SIGMOD 5.3794981e-05
8,199 Sieve: A Learned Data-Skipping Index for Data Analytics 2023 VLDB 5.3788727e-05
10,141 Trie Memtables in Cassandra 2022 VLDB 5.0736949e-05
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