Fast and efficient construction of BDDs by reordering based synthesis

We present a new approach to symbolic simulation with BDDs. Our method uses Reordering Based Synthesis (RBS) which allows the integration of dynamic variable ordering (even) within a single synthesis operation (e.g. an AND-operation). Thus, huge peak sizes during the construction can often be avoided, and we obtain a method that, with no penalty in runtime, is more memory efficient than traditional ITE operator based symbolic simulation. The results are confirmed by experiments on a large set of benchmarks: We give a comparison to previously published approaches and also consider some industrial benchmarks which are known to be hard to handle