High Area/Energy Efficiency RRAM CNN Accelerator with Pattern-Pruning-Based Weight Mapping Scheme

Resistive random access memory (RRAM) is an emerging device for processing-in-memory (PIM) architecture to accelerate convolutional neural network (CNN). However, due to the highly coupled crossbar structure in the RRAM array, it is difficult to exploit the CNN sparsity feature to improve the performance in RRAM-based CNN accelerator. To optimize the weight mapping of sparse network in the RRAM ar...