Sharif Digital Repository

With the high accuracy of deep neural networks, these models are now widely used in applications such as machine vision, natural language processing, and medicine. Since implementing deep neural networks faces many challenges, such as high computational demands and the need for extensive memory accesses, the design and deployment of hardware accelerators for running these models have become increasingly attractive. With the development of prototype ReRAMs, some researchers have focused on designing ReRAM-based accelerators to execute deep neural network models with high speed and low energy consumption. In general, we categorize these accelerators into two categories, fixed-weight and...