Accelerating Product Quantization Query Execution Runtime
Summary: Reviews two SIMD-accelerated Product Quantization techniques for ANN search; proposes a hardware-agnostic algorithm. Competitive runtime with SIMD yet hardware-agnostic, while mitigating accuracy loss and encoding-bit budget constraints. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ikraduya Edian (Bandung Institute of Technology)
BibTeX Citation
@inproceedings{edian_sigmod21,
title = {{Accelerating Product Quantization Query Execution Runtime}},
author = {Edian, Ikraduya},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3450574},
url = {https://dl.acm.org/doi/10.1145/3448016.3450574},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,430 | PQCache: Product Quantization-based KVCache for Long Context LLM Inference | 2025 | SIGMOD | 6.7091071e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 805 | Cache locality is not enough: High-Performance Nearest Neighbor Search with Product Quantization Fast Scan | 2016 | VLDB | 0.00013891999 |
| 1,579 | k-Shape: Efficient and Accurate Clustering of Time Series | 2015 | SIGMOD | 0.00010305183 |
| 2,734 | Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search | 2020 | VLDB | 8.190416e-05 |
| 4,234 | GRAIL: Efficient Time-Series Representation Learning | 2019 | VLDB | 6.8171563e-05 |
| 4,604 | Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures | 2020 | SIGMOD | 6.6104585e-05 |
| 6,061 | VergeDB: A Database for IoT Analytics on Edge Devices | 2021 | CIDR | 5.9910733e-05 |
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