Disentangling Graph Dependencies for Efficient Billion-Scale GPU Vector Search
Haoru Zhao · Jingkai He · Jingyao Zeng · Mingkai Dong · Dong Du
摘要
Graph-based approximate nearest neighbor search (ANNS) drives high-performance vector search for AI systems. Nowadays, GPU becomes the emerging ANNS platform for its high performance and cost efficiency. However, GPU’s limited memory capacity hinders graph ANNS systems from scaling to billion-lev...