Energy-efficient Dense DNN Acceleration with Signed Bit-slice Architecture

no code implementations • 15 Mar 2022 • Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Hoi-jun Yoo

This paper proposes energy-efficient signed bit-slice architecture which accelerates both high-precision and dense DNNs by exploiting a large number of zero values of signed bit-slices.

Extension of Direct Feedback Alignment to Convolutional and Recurrent Neural Network for Bio-plausible Deep Learning

no code implementations • 23 Jun 2020 • Donghyeon Han, Gwangtae Park, Junha Ryu, Hoi-jun Yoo

Even though the DFA algorithm is biologically plausible and has a potential of high-speed training, it has not been considered as the substitute for back-propagation (BP) due to the low accuracy in the CNN and RNN training.