Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing

Understand

Physical design and production of Integrated Circuits (IC) is becoming increasingly more challenging as the sophistication in IC technology is steadily increasing.

• Placement has been one of the most critical steps in IC physical design.
• Through decades of research, partition-based, analytical-based and annealing-based placers have been enriching the placement solution toolbox.
• However, open challenges including long run time and lack of ability to generalize continue to restrict wider applications of existing placement tools.