Electrical Design Space Exploration for High Speed Servers

Today's high-speed systems are characterized by a multitude of electrical design parameters due to their complexity. Therefore, performing a thorough design space exploration is computationally exhaustive. This is primarily the result of the number of variables (electrical parameters) needed to do a comprehensive analysis. In this paper, a genetic algorithm (GA) based optimization method is described as a solution to address the above problem. Traditional statistical approaches like design of experiments (DoE) are explained along with their advantages and limitations that the GA based approach improves upon.