A New Macromodeling Approach for Digital Output Drivers and Application in Simultaneous Switching Noise Analysis

摘要

Output driver models play a critical role in simultaneous switching noise (SSN) analysis. However, their accuracy must often be compromised with simplicity of implementation for large scale SSN simulations. We present an approach for creating simple, fast, and accurate macromodels of output drivers. To demonstrate their usefulness, simulation results in multi-IO SSN simulations are shown and compared to those obtained from transistor level SPICE libraries.