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, i.e., ...

This paper presents a design-oriented analysis for the time-interleaved SAR ADC that quantifies different sources of imperfections to provide a unified design framework. This includes both ...