Approximate computing is one of finest suited efficient data processing for error resilient applications, such as signal and image processing, computer vision, machine learning, data mining etc. Approximate computing reduces accuracy which is acceptable as a cost of increasing the circuit characteristics depends on the application. Desirable accuracy is the threshold point for controlling the trade off, between accuracy and circuit characteristics under the control of the circuit designer. In this work, the rounding technique is introduced as an efficient method for controlling this trade off. In this regard multiplier circuits as a critical building block for computing in most of the processors have been considered for the evaluation of the rounding technique efficiency. The impact of the rounding method is investigated by comparison of circuit characteristics for multipliers.

Multiplicand, Multiplier, Energy efficient, Rounding Technique