Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview

28 February 2022

Papers citing "Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview"

4 / 4 papers shown

Title
Reinforcement learning framework for the mechanical design of microelectronic components under multiphysics constraints S. Nair Timothy F. Walsh Greg Pickrell Fabio Semperlotti 35 0 0 23 Apr 2025
GOALPlace: Begin with the End in Mind Anthony Agnesina Rongjian Liang G. Pradipta Anand Rajaram Haoxing Ren 16 0 0 05 Jul 2024
Macro Placement by Wire-Mask-Guided Black-Box Optimization Yunqi Shi Ke Xue Lei Song Chaojun Qian 24 11 0 29 Jun 2023
MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning Yao Lai Yao Mu Ping Luo 25 46 0 24 Nov 2022