4 papers
The Clustering Strikes Back: Building Cost-Effective and High-Performance ANNS at Scale with Helmsman
Yuchen Huang, Baiteng Ma, Yiping Sun +7
RedNote (a.k.a., Xiaohongshu, a global-scale social network platform) widely adopts approximate nearest neighbor search (ANNS) to power its search, recommendation, and advertising…
CCD-Level and Load-Aware Thread Orchestration for In-Memory Vector ANNS on Multi-Core CPUs
Yuchen Huang, Baiteng Ma, Yiping Sun +6
Vector approximate nearest neighbor search (ANNS) underpins search engines, recommendation systems, and advertising services. Recent advances in ANNS indexes make CPU a cost-effect…
Scalable Overload-Aware Graph-Based Index Construction for 10-Billion-Scale Vector Similarity Search
Yang Shi, Yiping Sun, Jiaolong Du +3
Approximate Nearest Neighbor Search (ANNS) is essential for modern data-driven applications that require efficient retrieval of top-k results from massive vector databases. Althoug…
A Real-Time Adaptive Multi-Stream GPU System for Online Approximate Nearest Neighborhood Search
Yiping Sun, Yang Shi, Jiaolong Du
In recent years, Approximate Nearest Neighbor Search (ANNS) has played a pivotal role in modern search and recommendation systems, especially in emerging LLM applications like Retr…