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High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU

Summary: GustANN: a GPU-centric, CPU-assisted on-SSD graph-based ANNS that combines memory-efficient GPU kernels, CPU-managed PCIe transfers, and pivot-based inter-SSD load balancing to enable high-concurrency billion-scale vector search on a single GPU. Achieves ≥2.5× throughput and 2.62× better $/QPS versus prior ANNS systems. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7395
Venue
SIGMOD
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,086 | 29.84%
DOI
10.1145/3769799

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