Demonstration of Differential Mode FeFET-Array for multi-precision storage and IMC applications
Vivek Parmar, Franz Müller, Jing-Hua Hsuen, Sandeep Kaur Kingra, Yannick Raffel, Maximillian Lederer, Tarek Ali, Stefan Dünkel, Konrad Seidel, Sven Beyer, Tian‐Li Wu, Thomas Kämpfe, Sourav De, Manan Suri
Abstract
Harnessing multibit precision in non-volatile memory (NVM) based synaptic core can accelerate multiply and accumulate (MAC) operation of deep neural network (DNN). However, NVM-based synaptic cores suffer from the trade-off between bit density and performance. The undesired performance degradation with scaling, limited bit precision, and asymmetry associated with weight update poses a severe bottleneck in realizing a high-density synaptic core. In this work, we demonstrate: (i) implementation of novel differential mode ferroelectric field effect transistor (FeFET) (DM-FeFET) based multibit crossbar array of 12 Kbit size. (ii) bit density of 223Mb/mm2, which is ∼2x improvement compared to conventional FeFET array; (iii) 196 TOPS/W energy efficiency for VGG-8 network and (iv) superior bit error rate (BER) resilience showing ∼94% training and 88% inference accuracy with 1% BER.