FeFET-based Process-in-Memory Architecture for Low-Power DNN Training

Although deep neural networks (DNNs) have become the cornerstone of Artificial Intelligence, the current training of DNNs still requires dozens of CPU hours. Prior works created various customized hardware accelerators for DNNs, however, most of these accelerators are designed to accelerate DNN inference and lack basic support for complex compute phases and sophisticated data dependency involved i...