AN APPROACH FOR MULTILEVEL LOGIC OPTIMIZATION TARGETING LOW-POWER

This paper shows that using don't cares computed for area optimization during local node minimization may result in an increase in the power consumption of other nodes in a Boolean network. It then presents tec hniques for computing a subset of observability and satisfiability don 't care conditions that can be used freely to optimize the local funct ion of nodes. The concept of minimal variable support is then used to optimize the local function of each node for minimum power using its p ower relevant don't care set, that is, to reimplement the local functi on using a modified support that has a lower switching activity. Empir ical results on a set of benchmark circuits are presented and discusse d.