COSAIM: Counter-based Stochastic-behaving Approximate Integer Multiplier for Deep Neural Networks

In this work, we propose a new counter-based stochastic-behaving approximate integer unsigned multiplier, called COSAIM, for many emerging error tolerant application workloads such as deep neural networks. Unlike existing approximate multipliers, which are based on some deterministic ad-hoc methods or mathematical formula, the new design is an improved stochastic multiplier, which performs improve...