GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning

30 April 2020

Hanrui Wang

Kuan-Chieh Jackson Wang

Song Han

Papers citing "GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning"

26 / 26 papers shown

Title
GLOVA: Global and Local Variation-Aware Analog Circuit Design with Risk-Sensitive Reinforcement Learning Dongjun Kim Junwoo Park Chaehyeon Shin Jaeheon Jung Kyungho Shin ... Sanghyuk Heo Woongrae Kim Inchul Jeong Joohwan Cho Jongsun Park 17 0 0 16 May 2025
AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies Jian Gao Weidong Cao Junyi Yang Xuan Zhang 44 3 0 28 Feb 2025
Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights Asal Mehradfar Xuzhe Zhao Yue Niu Sara Babakniya Mahdi Alesheikh Hamidreza Aghasi Salman Avestimehr 32 0 0 21 Jan 2025
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 48 1 0 09 Oct 2024
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models Yuxuan Yin Yu Wang Boxun Xu Peng Li 33 10 0 26 Jun 2024
IR-Aware ECO Timing Optimization Using Reinforcement Learning V. A. Chhabria Wen-Lin Jiang S. Sapatnekar 12 3 0 12 Feb 2024
Practical Layout-Aware Analog/Mixed-Signal Design Automation with Bayesian Neural Networks A. Budak Keren Zhu Yao Lai 19 3 0 27 Nov 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 34 30 0 31 Aug 2023
Revolutionizing TCAD Simulations with Universal Device Encoding and Graph Attention Networks Guangxi Fan Leilai Shao Kain Lu Low 21 2 0 01 Aug 2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation Yunsheng Bai Atefeh Sohrabizadeh Zongyue Qin Ziniu Hu Yizhou Sun Jason Cong 26 1 0 18 May 2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements Ying Zhang Zhiqiang Zhao Zhuo Feng 38 2 0 09 Feb 2023
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs Lilas Alrahis J. Knechtel Ozgur Sinanoglu GNN AI4CE 49 22 0 29 Nov 2022
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration Srivatsan Krishnan Natasha Jaques Shayegan Omidshafiei Dan Zhang Izzeddin Gur Vijay Janapa Reddi Aleksandra Faust 34 2 0 29 Nov 2022
HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering Ali Aghdaei Zhuo Feng 25 8 0 26 Oct 2022
TAG: Learning Circuit Spatial Embedding From Layouts Keren Zhu Hao Chen Walker J. Turner George Kokai Po-Hsuan Wei David Z. Pan Haoxing Ren 23 13 0 07 Sep 2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL Wei Shi Hanrui Wang Jiaqi Gu Mingjie Liu David Z. Pan Song Han Nan Sun 14 14 0 13 Jul 2022
DeepTPI: Test Point Insertion with Deep Reinforcement Learning Zhengyuan Shi Min Li Sadaf Khan Liuzheng Wang Naixing Wang Yu Huang Qiang Xu 26 14 0 07 Jun 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference Rishov Sarkar Stefan Abi-Karam Yuqiang He Lakshmi Sathidevi Cong Hao AI4CE GNN 30 27 0 27 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 39 45 0 13 Apr 2022
The Dark Side: Security Concerns in Machine Learning for EDA Zhiyao Xie Jingyu Pan Chen-Chia Chang Yiran Chen 16 4 0 20 Mar 2022
$L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning$ L $^{2}$ NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning Keith G. Mills Fred X. Han Mohammad Salameh Seyed Saeed Changiz Rezaei Linglong Kong Wei Lu Shuo Lian Shangling Jui Di Niu 34 10 0 25 Sep 2021
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits Hanrui Wang Yongshan Ding Jiaqi Gu Zirui Li Yujun Lin David Z. Pan Frederic T. Chong Song Han 33 170 0 22 Jul 2021
SGL: Spectral Graph Learning from Measurements Zhuo Feng 28 3 0 16 Apr 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices Zhe Zhou Bizhao Shi Zhe Zhang Yijin Guan Guangyu Sun Guojie Luo GNN 36 32 0 13 Apr 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 20 145 0 16 Feb 2021
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning Hanrui Wang Zhekai Zhang Song Han 43 377 0 17 Dec 2020