Reducing SRAM Reading Power With Column Data Segment and Weights Correlation Enhancement for CNN Processing

Convolutional neural network (CNN) has been widely deployed in various processors for intelligent visual signal processing. However, the large amount of activations and weights in CNN causes huge power consumption on SRAM access. Data-adaptive SRAM design is a widely studied method to reduce SRAM reading power based on the utilization of data patterns, while current designs only exploit data patte...