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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
12046
Venue
VLDB
Year
2020
Pagerank
5.1141977e-05
Overall Rank
6,316 | 56.07%
DOI
10.14778/3397230.3397232

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