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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)

Paper ID
12234
Venue
VLDB
Year
2020
Pagerank
6.0752299e-05
Overall Rank
5,823 | 60.05%
DOI
10.14778/3397230.3397232

Incoming Non-self Citations Over Time

Authors

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}
}

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