Abstract: Compute-in-memory (CIM) is a new computing paradigm that addresses the memory-wall problem in hardware accelerator design for deep learning. The input vector and weight matrix multiplication ...
Abstract: In the context of high-performance computing, the integration of more computing capabilities with generic cores or dedicated accelerators for artificial intelligence (AI) application is ...