An efficient finite-domain constraint solver for circuits

We present a novel hybrid finite-domain constraint solving engine for RTL circuits, that automatically uses data-path abstraction. We describe how DPLL search can be modified by using efficient finite-domain constraint propagation to improve communication between interacting integer and Boolean domains. This enables efficient combination of Boolean SAT and linear integer arithmetic solving techniques. We use conflict-based learning using the variables on the boundary of control and data-path for additional performance benefits. Finally, the hybrid constraint solver is experimentally analyzed using some example circuits.

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