A high-performance circuit design algorithm using data dependent approximation

This paper proposes a high-performance circuit design algorithm using input data dependent approximation. In our algorithm, STEPCs (Suspicious Timing Error Prediction Circuits) are utilized for identifying the paths to be optimized inside a circuit efficiently. Experimental results targeting a set of basic adders show that our algorithm can achieve performance increase by up to 11.1% within the error rate of 2.1% compared to a conventional design technique.