Accurate deep neural network inference using computational phase-change memory

Vinay Joshi, Manuel Le Gallo, Simon Haefeli +7

In-memory computing is a promising non-von Neumann approach for making energy-efficient deep learning inference hardware. Crossbar arrays of resistive memory devices can be used to…