Shuffle-CIM: An All-Analog Computing-in-Memory Macro With Shuffle Scheme and Analog Non-MAC Implementation for Smart Sensing

Smart sensors, owing to a restricted power and area budget, typically face difficulties in the deployment of complex algorithms, such as large convolutional neural networks (CNNs). Although analog computing-in-memory (CIM) has made great strides in these areas, a major remaining cost of energy and area stems from partial sums (pSUMs) and their associated digital circuitry. This brief presents Shuffle-CIM, a CIM architecture that incorporates the shuffle scheme and analog non-multiply-and-accumulate (non-MAC) implementation. The shuffle scheme eliminates the need for pSUM accumulation, and without pSUM constraints, a specialized ReLU-ADC design integrates non-MAC computations directly into the analog domain, achieving an all-analog CIM macro. Implemented on TSMC 40nm, the Shuffle-CIM design achieves a power consumption of 4.90mW and an area of 0.396mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>, representing a 3.1× and 2.9× reduction compared to the conventional CIM architecture. The resulting energy efficiency and area efficiency reach 107.55TOPS/W and 1.33TOPS/mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>, with an accuracy of 89.01% on CIFAR-10.