Implementation of offset corrected AGAD algorithm on 130-nm CMOS technology–based RRAM array for analog neural network training
We present the first implementation of the analog gradient accumulation with dynamic reference (AGAD), reported as the most advanced and highest-performing version of the TT (Tiki-Taka) algorithm, on an HfO2-based resistive random-access memory (RRAM) array for analog neural network training. Through comparative simula...