This paper has detailed a methodology illustrating how IBIS AMI models can be used in combination with Mentor’s analysis tools to attain very low BER level’s with a high level of confidence with relatively short analysis times. This new approach condenses the simulation time necessary to exhaust weakness that may be present within a HS SERDES link by orders of magnitude. The illustrated method periodically and systemically extracts and analyses the systems dynamic response to ever changing bit sequences to determine the next input pattern that will maximally “stress” the resulting eye. In of itself this process would result in pessimistic results that would generally be much worse than one would observe in hardware. This paper continued to the next step illustrating a method to associate the probability of a given worse case pattern with the results of that pattern allowing one to properly scale the resulting BER plot based on “real” and “valid” simulation events that were discovered by this “active” and “interrogative” method. This in contrast to other methods that attempt to extrapolate from what has simulate to that which has not been simulated merely based on an assumed distribution. Our approach has been validated against experimental data acquired using advanced transceivers designed and calibrated by TI. In addition to validating the method to predict a channels BER to low probability the excellent correlation between the results received by simulation and experimental data validates two other important aspects of the analysis flow: firstly it establishes the accuracy of TI’s IBIS AMI models and secondly Mentor’s ability to accurately generate time domain impulse responses from complex channels that can be used in conjunction with IBIS AMI models to accurately evaluate a links performance. The ability to quickly and accuracy predict a channels BER (to a low level) before a physical prototype exists unlocks the possibility for systems designers to perform solution space analysis ensuring that the design tradeoffs used during analysis will yield systems that perform at the target BER.