106 citations · 217 across the 25 of their papers we have counts for
Showing cs.ARShow all
2 papers · 1 filter
cs.AR2023
PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration
Ahmed F. AbouElhamayed, Angela Cui, Javier Fernandez-Marques +2
Conventional multiply-accumulate (MAC) operations have long dominated computation time for deep neural networks (DNNs), espcially convolutional neural networks (CNNs). Recently, pr…
cs.AR2022
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris +5
Attention-based neural networks have become pervasive in many AI tasks. Despite their excellent algorithmic performance, the use of the attention mechanism and feed-forward network…