PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning

Rajarshi Roy, Jonathan Raiman, Neel Kant +6

In this work, we present a reinforcement learning (RL) based approach to designing parallel prefix circuits such as adders or priority encoders that are fundamental to high-perform…