2 papers
cs.ET2020
Freely scalable and reconfigurable optical hardware for deep learning
Liane Bernstein, Alexander Sludds, Ryan Hamerly +3
As deep neural network (DNN) models grow ever-larger, they can achieve higher accuracy and solve more complex problems. This trend has been enabled by an increase in available comp…
cs.ET2018
Large-Scale Optical Neural Networks based on Photoelectric Multiplication
Ryan Hamerly, Liane Bernstein, Alexander Sludds +2
Recent success in deep neural networks has generated strong interest in hardware accelerators to improve speed and energy consumption. This paper presents a new type of photonic ac…