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Adaptive Reconvergence-driven AIG Rewriting via Strategy Learning

By Liwei Ni and others
Rewriting is a common procedure in logic synthesis aimed at improving the performance, power, and area (PPA) of circuits. The traditional reconvergence-driven And-Inverter Graph (AIG) rewriting method focuses solely on optimizing the reconvergence cone through Boolean algebra minimization. However, there exist opportunities to incorporate other node-rewriting algorithms that are better... Show more
December 22, 2023
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Adaptive Reconvergence-driven AIG Rewriting via Strategy Learning
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