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HyperBlocker: Accelerating Rule-based Blocking in Entity Resolution using GPUs

Summary: HyperBlocker accelerates rule-based entity-resolution blocking via pipelined CPU–GPU execution, data/rule-aware planning, and hardware-conscious GPU parallelism. It delivers 6.8–9.1× faster blocking and ≥30% faster end-to-end ER than prior systems at comparable accuracy. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14132
Venue
VLDB
Year
2025
Pagerank
5.1814573e-05
Overall Rank
9,997 | 31.42%
DOI
10.14778/3705829.3705847

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhu_vldb25,
        title = {{HyperBlocker: Accelerating Rule-based Blocking in Entity Resolution using GPUs}},
        author = {Zhu, Xiaoke and Xie, Min and Deng, Ting and Zhang, Qi},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {2},
        pages = {308--321},
        doi = {10.14778/3705829.3705847},
        url = {https://doi.org/10.14778/3705829.3705847},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,763 Rule-Based Graph Cleaning with GPUs on a Single Machine 2025 SIGMOD 5.093636e-05
11,076 CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics 2025 VLDB 5.093636e-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
43 The Case for Learned Index Structures 2018 SIGMOD 0.00046060254
128 Efficient and Extensible Algorithms for Multi Query Optimization 2000 SIGMOD 0.0003072825
141 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.0002964847
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
176 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00027191081
489 Distributed Representations of Tuples for Entity Resolution 2018 VLDB 0.0001761456
1,643 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 0.00010134956
1,768 Tuplex: Data Science in Python at Native Code Speed 2021 SIGMOD 9.8041636e-05
2,055 Dedoop: Efficient Deduplication with Hadoop 2012 VLDB 9.2512023e-05
2,164 Opening the Black Boxes in Data Flow Optimization 2012 VLDB 9.0521951e-05
2,404 Cardinality Estimation Using Sample Views with Quality Assurance 2007 SIGMOD 8.6225576e-05
2,475 Deep Learning for Blocking in Entity Matching: A Design Space Exploration 2021 VLDB 8.5277654e-05
2,893 Distributed Data Deduplication 2016 VLDB 7.983961e-05
3,235 Large-Scale Collective Entity Matching 2011 VLDB 7.6139368e-05
3,665 BLAST: a Loosely Schema-aware Meta-blocking Approach for Entity Resolution 2016 VLDB 7.2142217e-05
3,883 Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks 2016 VLDB 7.0487615e-05
6,403 Parallel Discrepancy Detection and Incremental Detection 2021 VLDB 5.8859374e-05
7,139 Selection Pushdown in Column Stores using Bit Manipulation Instructions 2023 SIGMOD 5.6932481e-05
8,096 Efficient Execution of User-Defined Functions in SQL Queries 2023 VLDB 5.4875738e-05
9,427 Discovering Top-k Rules using Subjective and Objective Criteria 2023 SIGMOD 5.271035e-05
9,647 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 5.2430158e-05
10,111 Parallel Rule Discovery from Large Datasets by Sampling 2022 SIGMOD 5.1347137e-05
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