RexBDDs: Reduction-on-Edge Complement-and-Swap Binary Decision Diagrams
Gianfranco Ciardo, Andrew S. Miner, Lichuan Deng, Junaid Babar
Abstract
We introduce RexBDDs, binary decision diagrams (BDDs) that exploit reduction opportunities well beyond those of reduced ordered BDDs, zero-suppressed BDDs, and recent proposals integrating multiple reduction rules. RexBDDs also leverage (output) complement flags and (input) swap flags to potentially decrease the number of nodes by a factor of four. We define a reduced form of RexBDDs that ensures canonicity, and use a set of benchmarks to demonstrate their superior storage and runtime requirements compared to previous alternatives.
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