PowerShake: a low power driven clustering and factoring methodology for Boolean expressions

This paper describes algebraic techniques that target low power consumption. A unique power cost function based on decomposed factored form representation of a Boolean expression is introduced to guide the structural transformations. Circuits synthesized by the SIS and POSE consume 54.5% and 10.4% more power than that obtained by our tool respectively.