Abstract: Nonvolatile memories (NVMs) have emerged as promising candidates for efficient analog compute-in-memory (CIM). However, high power consumption and large variations in NVMs are key factors ...
Abstract: For resource-constrained AI accelerators applied in edge computing, achieving high power efficiency in neural network (NN) model computation is crucial. However, current designs often ...