Multi-ReRAM synapses for artificial neural network training
Irem Boybat, Cecilia Giovinazzo, et al.
ISCAS 2019
Phase-change materials and devices have received much attention as a potential route to the realization of various types of unconventional computing paradigms. In this letter, we present non-von Neumann arithmetic processing that exploits the accumulative property of phase-change memory (PCM) cells. Using PCM cells with integrated FET access devices, we perform a detailed study of accumulation-based computation. We also demonstrate efficient factorization using PCM cells, a technique that could pave the way for massively parallelized computations.
Irem Boybat, Cecilia Giovinazzo, et al.
ISCAS 2019
Michele Martemucci, Benedikt Kersting, et al.
ISCAS 2021
Tomas Tuma, Angeliki Pantazi, et al.
Nature Nanotechnology
Amlan Ganguly, Sergi Abadal, et al.
IEEE Micro