2 papers
cs.IR2026
Ascend-RaBitQ: Heterogeneous NPU-CPU Acceleration of Billion-Scale Similarity Search with 1-bit Quantization
Fujun He, Chuyue Ye, Huaxiang Cai +12
Vector similarity search is a critical component of modern AI systems, but traditional CPU-based implementations face fundamental scalability bottlenecks for billion-scale corpora…
cs.LG2025
Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions
Yuanhao Lai, Pengfei Zheng, Chenpeng Ji +5
Gaussian-Process-based Bayesian optimization (GP-BO), is a prevailing model-based framework for DBMS auto-tuning. However, recent work shows GP-BO-based DBMS auto-tuners significan…