A 28nm 1Mb Time-Domain Computing-in-Memory 6T-SRAM Macro with a 6.6ns Latency, 1241GOPS and 37.01TOPS/W for 8b-MAC Operations for Edge-AI Devices

SRAM-based computing in memory (SRAM-CIM) is an attractive approach to improve the energy efficiency (EF) of edge-AI devices performing multiply-and-accumulate (MAC) operations. SRAM-CIM with a large memory capacity enhances EF by reducing data movement between system memory and compute functions. High-precision inputs (IN), weights (W) and outputs (OUT) are essential to deliver sufficient inferen...