HydraList: A Scalable In-Memory Index Using Asynchronous Updates and Partial Replication
Summary: HydraList is a scalable, in-memory index for massive multi-core machines using asynchronous updates and partial replication. It splits into search and data layers; replicating the search layer across NUMA nodes reduces synchronization and cache misses, boosting performance across diverse workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ajit Mathew (Virginia Tech)
- 2. Changwoo Min (Virginia Tech)
BibTeX Citation
@article{mathew_vldb20,
title = {{HydraList: A Scalable In-Memory Index Using Asynchronous Updates and Partial Replication}},
author = {Mathew, Ajit and Min, Changwoo},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {9},
pages = {1332--1345},
doi = {10.14778/3397230.3397232},
url = {https://doi.org/10.14778/3397230.3397232},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,806 | Are Updatable Learned Indexes Ready? | 2022 | VLDB | 8.1013097e-05 |
| 6,396 | Contention and Space Management in B-Trees | 2021 | CIDR | 5.8870425e-05 |
| 6,742 | Bf-Tree: A Modern Read-Write-Optimized Concurrent Larger-Than-Memory Range Index | 2024 | VLDB | 5.7862414e-05 |
| 8,255 | B^link-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases | 2023 | VLDB | 5.4574671e-05 |
| 9,507 | BonsaiKV: Towards Fast, Scalable, and Persistent Key-Value Stores with Tiered, Heterogeneous Memory System | 2024 | VLDB | 5.258497e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 67 | Making B+-Trees Cache Conscious in Main Memory | 2000 | SIGMOD | 0.00038461275 |
| 83 | H-Store: A High-Performance, Distributed Main Memory Transaction Processing System | 2008 | VLDB | 0.00036185259 |
| 109 | DBMSs On A Modern Processor: Where Does Time Go? | 1999 | VLDB | 0.000331207 |
| 473 | Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores | 2015 | VLDB | 0.00017900942 |
| 491 | FPTree: A Hybrid SCM-DRAM Persistent and Concurrent B-Tree for Storage Class Memory | 2016 | SIGMOD | 0.00017575163 |
| 1,221 | Trie Hashing | 1981 | SIGMOD | 0.00011605619 |
| 1,390 | Building a Bw-Tree Takes More Than Just Buzz Words | 2018 | SIGMOD | 0.00010942775 |
| 1,710 | Cache-Conscious Concurrency Control of Main-Memory Indexes on Shared-Memory Multiprocessor Systems | 2001 | VLDB | 9.9537123e-05 |
| 1,822 | PALM: Parallel Architecture-Friendly Latch-Free Modifications to B+ Trees on Many-Core Processors | 2011 | VLDB | 9.6765747e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,813 | Main-Memory Index Structures with Fixed-Size Partial Keys | 2001 | SIGMOD |
| 2 | 3,378 | A Hybrid B+-tree as Solution for In-Memory Indexing on CPU-GPU Heterogeneous Computing Platforms | 2016 | SIGMOD |
| 3 | 9,576 | Indexing Highly Dynamic Hierarchical Data | 2015 | VLDB |
| 4 | 7,012 | Adaptive Hybrid Indexes | 2022 | SIGMOD |
| 5 | 6,429 | Just-In-Time Data Structures | 2015 | CIDR |
| 6 | 8,015 | Hyperion: Building the Largest In-memory Search Tree | 2019 | SIGMOD |
| 7 | 1,342 | Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks | 2019 | SIGMOD |
| 8 | 964 | Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes | 2016 | SIGMOD |
| 9 | 7,392 | Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction | 2024 | SIGMOD |
| 10 | 7,492 | Scalable Distributed Inverted List Indexes in Disaggregated Memory | 2024 | SIGMOD |