no code implementations • 20 Jun 2017 • Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee, Wilfried E. Haensch
Recently we have shown that an architecture based on resistive processing unit (RPU) devices has potential to achieve significant acceleration in deep neural network (DNN) training compared to today's software-based DNN implementations running on CPU/GPU.
