Automatic nonlinear memory power modelling

Power estimation and optimization is an increasingly important issue in IC design. The memory subsystem is a significant aspect, since memory power can dominate total system power. Estimation and optimization hence rely heavily on models for embedded memories. We present an effective black box modelling methology for generating nonlinear memory models automatically. The resulting models are accurate, computationally modest, and in analytical form. They outperform linear models by far. Average absolute relative errors are below 6%