We report on random stimuli generation for hardware verification in IBM as a major application of various artificial intelligence technologies, including knowledge representation,...
Yehuda Naveh, Michal Rimon, Itai Jaeger, Yoav Katz...
Abstract. This paper presents a constraint-based technique for discovering a rich class of inductive invariants (boolean combinations of polynomial inequalities of bounded degree) ...
This paper presents a new technology that accelerates system verification. In a real life example, we achieved a speed-up of a factor of about 5000. The key for this speed-up is a...
Renate Henftling, Andreas Zinn, Matthias Bauer, Wo...
Constrained random simulation is the main workhorse in today’s hardware verification flows. It requires the random generation of input stimuli that obey a set of declaratively...
This paper presents an innovative approach for analogue and mixed-signal verification. It consists in a “verification kit” that makes use of concepts used in state-of-art digi...
Giuseppe Bonfini, Monica Chiavacci, Riccardo Maria...