Jia-Wei Su

Hybrid RRAM-SRAM Computing-in-Memory Architecture Enabling Inference and Fine-Tuning

Benefiting from high energy efficiency and massive computing parallelism, computing-in-memory (CIM) has emerged as one of the most promising paradigms for implementing neural networks. However, traditional CIM architectures are primarily designed for inference only. Several prior works enable neural network fine-tuning...