Constraint-based random stimuli generation for hardware verification

Abstract

We report on random stimuli generation for hardware verification in IBM as a major application of various artificial intelligence technologies, including knowledge representation, expert systems, and constraint satisfaction. The application has been developed for almost a decade, with huge payoffs. Research and development around this application is still thriving, as we continue to cope with the ever-increasing complexity of modern hardware systems and demanding business environments.