Scalable Billion-point Approximate Nearest Neighbor Search Using {SmartSSDs}

B Tian, H Liu, Z Duan, X Liao, H Jin… - 2024 USENIX Annual …, 2024 - usenix.org
Approximate nearest neighbor search (ANNS) in high-dimensional vector spaces has
become increasingly crucial in database and machine learning applications. Most previous …

Scalable Multi-FPGA HPC Architecture for Associative Memory System

D Wang, X Yan, Y Yang, D Stathis… - … Circuits and Systems, 2024 - ieeexplore.ieee.org
Associative memory is a cornerstone of cognitive intelligence within the human brain. The
Bayesian confidence propagation neural network (BCPNN), a cortex-inspired model with …

FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search

B Tian, H Liu, Y Tang, S Xiao, Z Duan, X Liao… - arXiv preprint arXiv …, 2024 - arxiv.org
Approximate nearest neighbor search (ANNS) has emerged as a crucial component of
database and AI infrastructure. Ever-increasing vector datasets pose significant challenges …

Multi-word Term Embeddings Improve Lexical Product Retrieval

V Shcherbakov, F Krasnov - arXiv preprint arXiv:2406.01233, 2024 - arxiv.org
Product search is uniquely different from search for documents, Internet resources or
vacancies, therefore it requires the development of specialized search systems. The present …