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Machine Learning for Electronic Design Automation: A Survey

Machine Learning for Electronic Design Automation: A Survey

10 January 2021
Guyue Huang
Jingbo Hu
Yifan He
Jialong Liu
Mingyuan Ma
Zhaoyang Shen
Juejian Wu
Yuanfan Xu
Hengrui Zhang
Kai Zhong
Xuefei Ning
Yuzhe Ma
Haoyu Yang
Bei Yu
Huazhong Yang
Yu Wang
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Papers citing "Machine Learning for Electronic Design Automation: A Survey"

18 / 18 papers shown
Title
Customizing a Large Language Model for VHDL Design of High-Performance Microprocessors
Customizing a Large Language Model for VHDL Design of High-Performance Microprocessors
Nicolas Dupuis
Ravi Nair
Shyam Ramji
Sean McClintock
Nishant Chauhan
Priyanka Nagpal
Bart Blaner
Ken Valk
Leon Stok
Ruchir Puri
29
0
0
14 May 2025
Deep Representation Learning for Electronic Design Automation
Deep Representation Learning for Electronic Design Automation
Pratik Shrestha
Saran Phatharodom
Alec Aversa
David Blankenship
Zhengfeng Wu
Ioannis Savidis
22
0
0
04 May 2025
Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers
Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers
Raika Karimi
Faezeh Faez
Yingxue Zhang
Xing Li
Lei Chen
M. Yuan
Mahdi Biparva
56
0
0
16 Sep 2024
Cross-Modality Program Representation Learning for Electronic Design
  Automation with High-Level Synthesis
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
Zongyue Qin
Yunsheng Bai
Atefeh Sohrabizadeh
Zijian Ding
Ziniu Hu
Yizhou Sun
Jason Cong
31
2
0
13 Jun 2024
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code
  Generation
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation
Prashanth Vijayaraghavan
Luyao Shi
S. Ambrogio
C. Mackin
Apoorva Nitsure
David Beymer
Ehsan Degan
24
6
0
06 Jun 2024
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures
Serena Curzel
Fabrizio Ferrandi
Leandro Fiorin
Daniele Ielmini
Cristina Silvano
...
Enrico Russo
Valeria Cardellini
Salvatore Filippone
Francesco Lo Presti
Stefania Perri
36
4
0
29 Nov 2023
Revolutionizing TCAD Simulations with Universal Device Encoding and
  Graph Attention Networks
Revolutionizing TCAD Simulations with Universal Device Encoding and Graph Attention Networks
Guangxi Fan
Leilai Shao
Kain Lu Low
28
2
0
01 Aug 2023
From Words to Wires: Generating Functioning Electronic Devices from
  Natural Language Descriptions
From Words to Wires: Generating Functioning Electronic Devices from Natural Language Descriptions
Peter Alexander Jansen
22
2
0
24 May 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
DeepSeq: Deep Sequential Circuit Learning
DeepSeq: Deep Sequential Circuit Learning
Sadaf Khan
Zhengyuan Shi
Min Li
Qiang Xu
GNN
31
8
0
27 Feb 2023
Graph Neural Networks: A Powerful and Versatile Tool for Advancing
  Design, Reliability, and Security of ICs
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
CircuitNet: An Open-Source Dataset for Machine Learning Applications in
  Electronic Design Automation (EDA)
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
Zhuomin Chai
Yuxiang Zhao
Yibo Lin
Wei Liu
Runsheng Wang
Ru Huang
14
22
0
01 Aug 2022
Towards Collaborative Intelligence: Routability Estimation based on
  Decentralized Private Data
Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data
Jingyu Pan
Chen-Chia Chang
Zhiyao Xie
Ang Li
Minxue Tang
Tunhou Zhang
Jiangkun Hu
Yiran Chen
FedML
27
8
0
30 Mar 2022
The Dark Side: Security Concerns in Machine Learning for EDA
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
DeepGate: Learning Neural Representations of Logic Gates
DeepGate: Learning Neural Representations of Logic Gates
Min Li
Sadaf Khan
Zhengyuan Shi
Naixing Wang
Yu Huang
Qiang Xu
GNN
NAI
AI4CE
26
41
0
26 Nov 2021
BOiLS: Bayesian Optimisation for Logic Synthesis
BOiLS: Bayesian Optimisation for Logic Synthesis
Antoine Grosnit
C. Malherbe
Rasul Tutunov
Xingchen Wan
Jun Wang
H. Ammar
22
30
0
11 Nov 2021
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver
W. Xing
X. Jin
Yi Liu
Dan Niu
Weisheng Zhao
Zhou Jin
18
4
0
31 Jul 2021
DRiLLS: Deep Reinforcement Learning for Logic Synthesis
DRiLLS: Deep Reinforcement Learning for Logic Synthesis
Abdelrahman I. Hosny
S. Hashemi
M. Shalan
Sherief Reda
61
109
0
11 Nov 2019
1