Spann: Highly-efficient billion-scale approximate nearest neighborhood search
The in-memory algorithms for approximate nearest neighbor search (ANNS) have achieved
great success for fast high-recall search, but are extremely expensive when handling very …
great success for fast high-recall search, but are extremely expensive when handling very …
Lotus: Enabling semantic queries with llms over tables of unstructured and structured data
L Patel, S Jha, C Guestrin, M Zaharia - ar**
(vSLAM) can help in many ways, it helps in re-localization, improves the accuracy of the …
(vSLAM) can help in many ways, it helps in re-localization, improves the accuracy of the …
TPU-KNN: K nearest neighbor search at peak flop/s
This paper presents a novel nearest neighbor search algorithm achieving TPU (Google
Tensor Processing Unit) peak performance, outperforming state-of-the-art GPU algorithms …
Tensor Processing Unit) peak performance, outperforming state-of-the-art GPU algorithms …