An 8-Mb DC-Current-Free Binary-to-8b Precision ReRAM Nonvolatile Computing-in-Memory Macro using Time-Space-Readout with 1286.4-21.6TOPS/W for Edge-AI Devices

Battery-powered edge-AI devices require nonvolatile computing-in-memory (nvCIM) macros for nonvolatile data storage and multiply-and-accumulate (MAC) operations. High inference accuracy requires MAC operations with high input (IN), weight (W), and output (OUT) precisions. A high energy efficiency (EF₌₀₂) and a short computing latency (t₀₂) are also required. Most existing silicon-verified nvCIM macros use current-mode signal generation; using current 1–3 or hybrid current-voltage readout schemes 4–5 for multibit MAC operations to compensate for the small BL -voltage swing and signal margin resulting from the low read-disturb-free voltage (Vₑ₃).