Constraint-Based Random Stimuli Generation for Hardware Verification

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

Abstract

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.
Published
2007-09-15
Section
Articles