A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration

ReRAM-based neural network accelerators (RNAs) could outshine their digital counterparts in terms of computational efficiency and performance remarkably. However, some open software tool for broad architectural exploration and end-to-end evaluation are still missing. We present a simulation framework of RNA for CNN inference that encompasses a ReRAM-aware NN training tool, a CNN-oriented mapper an...