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APEX: A High-Performance Learned Index on Persistent Memory

Summary: APEX adapts the updatable ALEX learned index for persistent memory, combining distribution-aware models with PM-specific techniques to minimize costly accesses while supporting concurrency and persistence. It delivers up to 15× higher performance than PM indexes and ~42 ms crash recovery. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h24f3ff3ace5706a4
Venue
VLDB
Year
2022
Pagerank
7.9258875e-05
Overall Rank
2,866 | 80.74%
DOI
10.14778/3494124.3494141

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lu_vldb22,
        title = {{APEX: A High-Performance Learned Index on Persistent Memory}},
        author = {Lu, Baotong and Ding, Jialin and Lo, Eric and Minhas, Umar Farooq and Wang, Tianz​heng},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {3},
        pages = {597--610},
        doi = {10.14778/3494124.3494141},
        url = {https://doi.org/10.14778/3494124.3494141},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 30 of 30 citing papers.

Rank Citing Paper Year Venue Pagerank
2,636 Are Updatable Learned Indexes Ready? 2022 VLDB 8.1941043e-05
3,697 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.0882335e-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
4,875 Oasis: An Optimal Disjoint Segmented Learned Range Filter 2024 VLDB 6.3724016e-05
5,974 Towards instance-optimized data systems 2021 VLDB 5.9305575e-05
6,484 Bf-Tree: A Modern Read-Write-Optimized Concurrent Larger-Than-Memory Range Index 2024 VLDB 5.7696173e-05
6,821 Making In-Memory Learned Indexes Efficient on Disk 2024 SIGMOD 5.6720444e-05
6,863 Accelerating String-key Learned Index Structures via Memoization-based Incremental Training 2024 VLDB 5.6607844e-05
6,877 Evaluating Persistent Memory Range Indexes: Part Two 2022 VLDB 5.6581603e-05
6,940 The Past, Present and Future of Indexing on Persistent Memory 2022 VLDB 5.63864e-05
7,018 SALI: A Scalable Adaptive Learned Index Framework based on Probability Models 2023 SIGMOD 5.619958e-05
8,200 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 5.3787447e-05
8,532 AirIndex: Versatile Index Tuning Through Data and Storage 2023 SIGMOD 5.3217474e-05
8,642 OptiQL: Robust Optimistic Locking for Memory-Optimized Indexes 2023 SIGMOD 5.2957446e-05
8,753 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 5.2846898e-05
9,064 A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class Memory 2023 VLDB 5.2283159e-05
9,593 Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs 2024 SIGMOD 5.156392e-05
10,168 PLATON: Top-down R-tree Packing with Learned Partition Policy 2023 SIGMOD 5.0682654e-05
10,475 LINE: A Learned Index with Group-Enhanced Leaves and Cache-Optimized Inner Tree 2026 SIGMOD 4.9793485e-05
10,480 Mathematical Foundations of Poisoning Attacks on Linear Regression over Cumulative Distribution Functions 2026 SIGMOD 4.9793485e-05
10,575 High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff 2026 SIGMOD 4.9793485e-05
10,648 HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads 2026 SIGMOD 4.9793485e-05
10,750 Operation-Aware Hybrid Locking for Modern In-Memory Indexes 2026 VLDB 4.9793485e-05
10,844 Rethinking Learned Index and LSM-tree Integration 2026 VLDB 4.9793485e-05
11,064 LiBox: A Learned Index as an Array to Minimize Last-Mile Search 2026 VLDB 4.9793485e-05
11,237 FB+-tree: A Memory-Optimized B+-tree with Latch-Free Update 2025 VLDB 4.9793485e-05
11,342 DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees 2025 VLDB 4.9793485e-05
11,674 Data Pipes: Declarative Control over Data Movement 2023 CIDR 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 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
69 Making B+-Trees Cache Conscious in Main Memory 2000 SIGMOD 0.00037950385
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
502 FPTree: A Hybrid SCM-DRAM Persistent and Concurrent B-Tree for Storage Class Memory 2016 SIGMOD 0.00017250534
631 Persistent B+-Trees in Non-Volatile Main Memory 2015 VLDB 0.0001541723
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
907 HOT: A Height Optimized Trie Index for Main-Memory Database Systems 2018 SIGMOD 0.00013158824
964 BzTree: A High-Performance Latch-free Range Index for Non-Volatile Memory 2018 VLDB 0.00012810196
971 Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes 2016 SIGMOD 0.00012766019
1,132 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00011898257
1,191 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011590153
1,359 Dash: Scalable Hashing on Persistent Memory 2020 VLDB 0.00010919021
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
1,854 LB+-Trees: Optimizing Persistent Index Performance on 3DXPoint Memory 2020 VLDB 9.4991601e-05
1,878 Effectively Learning Spatial Indices 2020 VLDB 9.4451309e-05
2,274 DPTree: Differential Indexing for Persistent Memory 2020 VLDB 8.7108312e-05
2,742 Evaluating Persistent Memory Range Indexes 2020 VLDB 8.0681227e-05
6,194 Patience is a Virtue: Revisiting Merge and Sort on Modern Processors 2014 SIGMOD 5.8544215e-05
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Semantically Similar Papers

# Overall Rank Paper Year Venue
1 10,489 On Self-Designing Learned Indexes 2026 SIGMOD
2 7,535 Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction 2024 SIGMOD
3 4,641 PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery 2023 VLDB
4 4,516 Persistent Memory Hash Indexes: An Experimental Evaluation 2021 VLDB
5 6,077 When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories 2023 SIGMOD
6 848 Benchmarking Learned Indexes 2021 VLDB
7 430 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD
8 6,877 Evaluating Persistent Memory Range Indexes: Part Two 2022 VLDB
9 2,274 DPTree: Differential Indexing for Persistent Memory 2020 VLDB
10 2,742 Evaluating Persistent Memory Range Indexes 2020 VLDB