2019
A Low-latency Sparse-Winograd Accelerator for Convolutional Neural Networks
ICASSP 2019accepted
Low-latency and low-power implementations of Convolutional Neural Network (CNN) are highly desired for budget-restricted scenarios. Pruning and Winograd algorithm are two representative approaches to reduce the computation complexity of CNNs. Coupling them is very attractive, but the Winograd transf…