B. R. Fernando

Optimization and Modeling of Transposable Memristor Crossbars for Low Power On-Chip Learning

With the massive impact of AI, energy consumption of required computing resources is trending toward unmanageable. Moving the computation load of these systems from data centers to more novel compute-in-memory hardware would provide vast efficiency gains. Thus, we propose a memristor crossbar circuit for neural network...