VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs
Summary: VecFlow is a GPU-based, label-centric vector-filtered search system boosting filter selectivity for ANNS. Architecture-aware optimization and batch support deliver throughput and recall, reaching 5M QPS at 90% recall with up to 135x CPU gains over DiskANN. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jingyi Xi (University of Illinois Urbana-Champaign)
- 2. Chenghao Mo (University of Illinois Urbana-Champaign)
- 3. Ben Karsin (NVIDIA)
- 4. Artem Chirkin (NVIDIA)
- 5. Mingqin Li (Microsoft)
- 6. Minjia Zhang (University of Illinois Urbana-Champaign)
BibTeX Citation
@inproceedings{xi_sigmod26,
title = {{VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs}},
author = {Xi, Jingyi and Mo, Chenghao and Karsin, Ben and Chirkin, Artem and Li, Mingqin and Zhang, Minjia},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3749189},
url = {https://dl.acm.org/doi/10.1145/3749189},
year = {2026}
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