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Andy Davis

2 accepted papers

2022

TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s

NeurIPS 2022accept

This paper presents a novel nearest neighbor search algorithm achieving TPU (Google Tensor Processing Unit) peak performance, outperforming state-of-the-art GPU algorithms with similar level of recall. The design of the proposed algorithm is motivated by an accurate accelerator performance model tha…

Cited by 30Source ↗PDF ↗Scholar ↗
2017

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

ICLR 2017poster

The capacity of a neural network to absorb information is limited by its number of parameters. Conditional computation, where parts of the network are active on a per-example basis, has been proposed in theory as a way of dramatically increasing model capacity without a proportional increase in com…

Cited by 3097Source ↗Scholar ↗