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Convolutional neural networks (CNN) have achieved excellent performance onvarious tasks, but deploying CNN to edge is constrained by the high energyconsumption of convolution operation. Stochastic computing (SC) is anattractive paradigm which performs arithmetic operations with simple logicgates and low hardware cost. This paper presents an energy-efficientmixed-signal multiply-accumulate (MAC) engine based on SC. A parallelarchitecture is adopted in this work to solve the latency problem of SC. Thesimulation results show that the overall energy consumption of our design is5.03pJ per 26-input MAC operation under 28nm CMOS technology.

An Energy-Efficient Mixed-Signal Parallel Multiply-Accumulate (MAC) Engine Based on Stochastic Computing