Clustered table-based macromodels for RTL power estimation

Abstract

Macromodeling is considered the most effective approach to RTL power estimation. Among the macromodels presented in the literature, table-based ones have overcome some of the limitations of conventional, equation-based solutions. In this paper we propose some enhancements to the basic implementation of table-based macromodels that improve the estimation accuracy while preserving the intrinsic robustness.