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SVFusion: A CPU-GPU Co-Processing Architecture for Large-Scale Real-Time Vector Search
Summary: SVFusion tackles real-time large-scale ANNS by fusing CPU-GPU-disk in a hierarchical vector index, enabling high-throughput online updates without sacrificing GPU-style query speed. Key novelty: workload-aware GPU caching plus CUDA multi-stream/adaptive coordination and concurrency control for consistent interleaved query-update processing.
(summarized by gpt-5.4-mini on Apr 12 2026)
- Paper ID
- 14260
- Venue
- VLDB
- Year
- 2026
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,224 | 28.88%
- DOI
-
10.14778/3796195.3796216
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No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 212 |
Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph |
2019 |
VLDB |
0.00033913475 |
| 562 |
Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search |
2016 |
VLDB |
0.00020091752 |
| 605 |
Locality-Sensitive Hashing Scheme Based on Dynamic Collision Counting |
2012 |
SIGMOD |
0.000193396 |
| 770 |
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search |
2021 |
VLDB |
0.00016917602 |
| 2,181 |
PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search |
2020 |
VLDB |
9.3451821e-05 |
| 2,262 |
Manu: A Cloud Native Vector Database Management System |
2022 |
VLDB |
9.1624446e-05 |
| 2,324 |
RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search |
2024 |
SIGMOD |
9.0326444e-05 |
| 2,811 |
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations |
2023 |
SIGMOD |
8.0806307e-05 |
| 3,400 |
ELPIS: Graph-Based Similarity Search for Scalable Data Science |
2023 |
VLDB |
7.1405533e-05 |
| 3,624 |
SeRF: Segment Graph for Range-Filtering Approximate Nearest Neighbor Search |
2024 |
SIGMOD |
6.9056e-05 |
| 4,598 |
Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search |
2025 |
SIGMOD |
6.0586236e-05 |
| 5,569 |
Revisiting the Index Construction of Proximity Graph-Based Approximate Nearest Neighbor Search |
2025 |
VLDB |
5.4290942e-05 |
| 7,654 |
LiteHST: A Tree Embedding based Method for Similarity Search |
2023 |
SIGMOD |
4.687476e-05 |
| 7,837 |
GTI: Graph-based Tree Index with Logarithm Updates for Nearest Neighbor Search in High-Dimensional Spaces |
2025 |
VLDB |
4.6379694e-05 |
| 9,480 |
Cost-Effective, Low Latency Vector Search with Azure Cosmos DB |
2025 |
VLDB |
4.3341665e-05 |
| 10,654 |
HAKES: Scalable Vector Database for Embedding Search Service |
2025 |
VLDB |
4.1945683e-05 |
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