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 de-composed 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.