Adaptive variable reordering for symbolic model checking

Abstract

In this paper, we present an adaptive dynamic variable ordering paradigm which is application-dependent and intended for symbolic model checking applications. The impact of the adaptive variable reordering approach is demonstrated on circuits from Intel's next-generation micro-processors. On large circuits, in particular, our algorithms make verification tasks that would never end finish successfully in a reasonable amount of time. Our approach, to the best of our knowledge, pioneers in applying successfully ROBDD-independent and application-specific heuristics to the domain of dynamic variable reordering.