Maskplace: Fast chip placement via reinforced visual representation learning
Placement is an essential task in modern chip design, aiming at placing millions of circuit
modules on a 2D chip canvas. Unlike the human-centric solution, which requires months of …
modules on a 2D chip canvas. Unlike the human-centric solution, which requires months of …
Progress of Placement Optimization for Accelerating VLSI Physical Design
Placement is essential in very large-scale integration (VLSI) physical design, as it directly
affects the design cycle. Despite extensive prior research on placement, achieving fast and …
affects the design cycle. Despite extensive prior research on placement, achieving fast and …
RL-Legalizer: Reinforcement Learning-based Cell Priority Optimization in Mixed-Height Standard Cell Legalization
Cell legalization order has a substantial effect on the quality of modern VLSI designs, which
use mixed-height standard cells. In this paper, we propose a deep reinforcement learning …
use mixed-height standard cells. In this paper, we propose a deep reinforcement learning …