Constraint-Based Random Stimuli Generation for Hardware Verification

Naveh, Yehuda, Rimon, Michal, Jaeger, Itai, Katz, Yoav, Vinov, Michael, Marcu, Eitan s, Shurek, Gil

AI Magazine 

We report on random stimuli generation for hardware verification at IBM as a major applica-tion of various artificial intelligence technologies, including knowledge representation, expert systems, and constraint satisfaction. For more than a decade we have developed several related tools, with huge payoffs. Research and development around this application are still thriving, as we continue to cope with the ever-increasing complexity of modern hardware systems and demanding business environments.