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Cache locality is not enough: High-Performance Nearest Neighbor Search with Product Quantization Fast Scan

Summary: PQ Fast Scan replaces cache-resident PQ lookup tables with SIMD-register-sized tables, enabling in-register lookups and vectorized distance computation. It preserves PQ accuracy while reducing scan latency 4–6×, showing cache locality alone is insufficient. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h8f2775d6cc1291e7
Venue
VLDB
Year
2016
Pagerank
0.00014598403
Overall Rank
710 | 95.25%
DOI
10.14778/2856318.2856321
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{andre_vldb16,
        title = {{Cache locality is not enough: High-Performance Nearest Neighbor Search with Product Quantization Fast Scan}},
        author = {Andre, Fabien and Kermarrec, Anne-Marie and Le Scouarnec, Nicolas},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {4},
        pages = {288--299},
        doi = {10.14778/2856318.2856321},
        url = {https://doi.org/10.14778/2856318.2856321},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 43 of 43 citing papers.

Rank Citing Paper Year Venue Pagerank
75 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00037163157
181 Milvus: A Purpose-Built Vector Data Management System 2021 SIGMOD 0.00026425782
802 RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search 2024 SIGMOD 0.00013822222
1,280 Manu: A Cloud Native Vector Database Management System 2022 VLDB 0.00011199537
1,610 Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment 2024 SIGMOD 0.00010066881
1,968 SeRF: Segment Graph for Range-Filtering Approximate Nearest Neighbor Search 2024 SIGMOD 9.2810141e-05
2,067 Similarity search in the blink of an eye with compressed indices 2023 VLDB 9.0707479e-05
2,426 DeltaPQ: Lossless Product Quantization Code Compression for High Dimensional Similarity Search 2020 VLDB 8.4692316e-05
2,728 iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search 2024 SIGMOD 8.0686023e-05
2,836 Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search 2025 SIGMOD 7.9410774e-05
3,389 SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search 2025 SIGMOD 7.329962e-05
3,972 PQCache: Product Quantization-based KVCache for Long Context LLM Inference 2025 SIGMOD 6.8744954e-05
4,368 UNIFY: Unified Index for Range Filtered Approximate Nearest Neighbors Search 2025 VLDB 6.6237291e-05
5,891 ARKGraph: All-Range Approximate K-Nearest-Neighbor Graph 2023 VLDB 5.9396547e-05
6,141 DIGRA: A Dynamic Graph Indexing for Approximate Nearest Neighbor Search with Range Filter 2025 SIGMOD 5.856289e-05
6,146 Dynamic Range-Filtering Approximate Nearest Neighbor Search 2025 VLDB 5.8561603e-05
6,475 Efficient Dynamic Indexing for Range Filtered Approximate Nearest Neighbor Search 2025 SIGMOD 5.7553067e-05
6,892 AquaPipe: A Quality-Aware Pipeline for Knowledge Retrieval and Large Language Models 2025 SIGMOD 5.6385566e-05
7,023 Accelerating Graph Indexing for ANNS on Modern CPUs 2025 SIGMOD 5.6026129e-05
7,610 Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search 2026 SIGMOD 5.4683985e-05
7,719 VSAG: An Optimized Search Framework for Graph-based Approximate Nearest Neighbor Search 2025 VLDB 5.4543461e-05
8,364 Fast Graph Vector Search via Hardware Acceleration and Delayed-Synchronization Traversal 2025 VLDB 5.3304544e-05
8,421 TOD: GPU-accelerated Outlier Detection via Tensor Operations 2023 VLDB 5.3197436e-05
8,688 Accelerating Product Quantization Query Execution Runtime 2021 SIGMOD 5.2730113e-05
8,838 HAKES: Scalable Vector Database for Embedding Search Service 2025 VLDB 5.2523063e-05
9,025 ANN Softmax: Acceleration of Extreme Classification Training 2022 VLDB 5.2202854e-05
9,562 SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation 2026 SIGMOD 5.1465543e-05
9,593 Distribution-Aware Exploration for Adaptive HNSW Search 2026 SIGMOD 5.1376962e-05
10,356 Dynamically Detect and Fix Hardness for Efficient Approximate Nearest Neighbor Search 2026 SIGMOD 5.0156513e-05
10,357 TRIM: Accelerating High-Dimensional Vector Similarity Search with Enhanced Triangle-Inequality-Based Pruning 2026 SIGMOD 5.0156513e-05
10,358 WoW: A Window-to-Window Incremental Index for Range-Filtering Approximate Nearest Neighbor Search 2026 SIGMOD 5.0156513e-05
10,616 Accelerating High-Dimensional ANN Search via Skipping Redundant Distance Computations 2026 SIGMOD 4.9605343e-05
10,696 CANDOR-Bench: Benchmarking In-Memory Continuous ANNS under Dynamic Open-World Streams [Experiments & Analysis] 2026 SIGMOD 4.9605343e-05
10,749 RAIRS: Optimizing Redundant Assignment and List Layout for IVF-Based ANN Search 2026 SIGMOD 4.9605343e-05
10,780 Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search 2026 VLDB 4.9605343e-05
10,816 Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search 2026 VLDB 4.9605343e-05
10,900 RNSG: A Range-Aware Graph Index for Efficient Range-Filtered Approximate Nearest Neighbor Search 2026 VLDB 4.9605343e-05
10,938 CONDA: A Connectivity-Aware Dynamic Index for Approximate Nearest Neighbor Search over Evolving Data 2026 VLDB 4.9605343e-05
10,944 BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector 2026 VLDB 4.9605343e-05
10,980 TEngineDB-V: An OLAP-Native Vector Search System for Large-k Workloads at Tencent 2026 VLDB 4.9605343e-05
11,098 Advances of Query Processing in Vector Databases 2026 VLDB 4.9605343e-05
11,118 Elastic Index Selection for Label-Hybrid AKNN Search 2026 VLDB 4.9605343e-05
11,393 Not Small Enough? SegPQ: A Learned Approach to Compress Product Quantization Codebooks 2025 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

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