Accelerating String-key Learned Index Structures via Memoization-based Incremental Training
Summary: Memoizes QR decomposition to incrementally retrain string-key learned indexes by touching only updated keys, eliminating dependence on total data size. FPGA offload speeds training and frees CPU; SIA boosts throughput 2.6–3.4× vs ALEX/LIPP/SIndex. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Minsu Kim
- 2. Jinwoo Hwang
- 3. Guseul Heo
- 4. Seiyeon Cho
- 5. Divya Mahajan
- 6. Jongse Park
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,618 | A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach | 2025 | SIGMOD | 4.3173366e-05 |
| 10,319 | LiBox: A Learned Index as an Array to Minimize Last-Mile Search | 2026 | VLDB | 4.1945683e-05 |
| 10,396 | VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity | 2025 | SIGMOD | 4.1945683e-05 |
| 10,562 | FB+-tree: A Memory-Optimized B+-tree with Latch-Free Update | 2025 | VLDB | 4.1945683e-05 |
Previous
Page 1 / 1
Next
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.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,671 | Algorithmic Complexity Attacks on Dynamic Learned Indexes | 2024 | VLDB | 4.4714076e-05 |
| 7,894 | LITS: An Optimized Learned Index for Strings | 2024 | VLDB | 4.6240341e-05 |
| 8,101 | Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction | 2024 | SIGMOD | 4.5854141e-05 |
| 10,087 | High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff | 2026 | SIGMOD | 4.1945683e-05 |
| 10,169 | From Learning to Recycling: A Log-Structured Learned-Less Index | 2026 | SIGMOD | 4.1945683e-05 |
| 7,390 | Making In-Memory Learned Indexes Efficient on Disk | 2024 | SIGMOD | 4.7431654e-05 |
| 4,128 | Are Updatable Learned Indexes Ready? | 2022 | VLDB | 6.4292373e-05 |
| 8,811 | Tuning Hierarchical Learned Indexes on Disk and Beyond | 2022 | SIGMOD | 4.4441574e-05 |
| 5,074 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7175726e-05 |
| 1,460 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00011887068 |