DAG-Aware circuit compression for formal verification

The choice of representation for circuits and boolean formulae in a formal verification tool is important for two reasons. First of all, representation compactness is necessary in order to keep the memory consumption low. This is witnessed by the importance of maximum processable design size for equivalence checkers. Second, many formal verification algorithms are sensitive to redundancies in the design that is processed. To address these concerns, three different auto-compressing representations for boolean circuit networks and formulas have been suggested in the literature. In this paper, we attempt to find a blend of features from these alternatives that will allow us to remove as much redundancy as possible while not sacrificing runtime. By studying how the network representation size varies when we change parameters, we show that the use of only one operator node is suboptimal, and demonstrate that the most powerful of the proposed reduction rules, two-level minimization, actually can be harmful. We correct the bad behavior of two-level optimization by devising a simple linear simplification algorithm that can remove tens of thousands of nodes on examples where all obvious redundancies already have been removed. The combination of our compactor with the simplest representation outperforms all of the alternatives we have studied, with a theoretical runtime bound that is at least as good as the three studied representations.