APM-CIM: An Array Partition Multi-Macro CIM System With Dynamic Sparse Approximation for Neural Network Edge Applications https://sscs.ieee.org/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 https://secure.gravatar.com/avatar/8fcdccb598784519a6037b6f80b02dee03caa773fc8d223c13bfce179d70f915?s=96&d=mm&r=g
Abstract:
Computing-in-memory (CIM) has been widely investigated as a solution to the von Neumann bottleneck to reduce data transfer between memory and processor. However, existing CIM macros for neural network (NN) edge applications still suffer from high latency and energy consumption due to the correlation between data precision and the number …