ADC-Free Compute-in-Memory for Error-Resilient and Energy-Efficient AI Accelerators
Analog compute-in-memory (CIM) has recently emerged as a novel paradigm for artificial intelligence compute, but the efficiency of CIM is heavily bottlenecked by the energy and area overhead of analog-to-digital (ADC). While replacing high-precision ADCs with 1-bit conversion significantly reduces peripheral overhead,...