Ruturaj Pujari, Arthur Gasasira, et al.
ASMC 2021
We demonstrate a novel process for building a Resistive RAM (ReRAM) stack which reduces the forming voltage ( ) and increases the switching resistance, both characteristics that are important ingredients for the use of ReRAM in scalable analog compute for AI. Utilizing this process, we explore analog switching characteristics above 100k and demonstrate 4-bit programming at Rmax . Utilizing the same writing characteristics, CIFAR-10 inference simulation shows 90% accuracy, comparable to the full precision model accuracy.
Ruturaj Pujari, Arthur Gasasira, et al.
ASMC 2021
Kangguo Cheng, A. Khakifirooz, et al.
IEEE International SOI Conference 2010
Youngseok Kim, Andrew Eddins, et al.
Nature
N. Gong, Malte J. Rasch, et al.
IEDM 2022