Machine Learning Applications in Electronic Design Automation

Edited by Haoxing Ren () and Jiang Hu ()

in Springer Books from Springer

Date: 2022
ISBN: 978-3-031-13074-8
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Chapters in this book:

Ch Chapter 1 ML for Design QoR Prediction

Andrew B. Kahng and Zhiang Wang

Ch Chapter 10 Circuit Optimization for 2D and 3D ICs with Machine Learning

Anthony Agnesina, Yi-Chen Lu and Sung Kyu Lim

Ch Chapter 11 Reinforcement Learning for Routing

Haiguang Liao and Levent Burak Kara

Ch Chapter 12 Machine Learning for Analog Circuit Sizing

Ahmet F. Budak, Shuhan Zhang, Mingjie Liu, Wei Shi, Keren Zhu and David Z. Pan

Ch Chapter 13 The Interplay of Online and Offline Machine Learning for Design Flow Tuning

Matthew M. Ziegler, Jihye Kwon, Hung-Yi Liu and Luca P. Carloni

Ch Chapter 14 Machine Learning in the Service of Hardware Functional Verification

Raviv Gal and Avi Ziv

Ch Chapter 15 Machine Learning for Mask Synthesis and Verification

Haoyu Yang, Yibo Lin and Bei Yu

Ch Chapter 16 Machine Learning for Agile FPGA Design

Debjit Pal, Chenhui Deng, Ecenur Ustun, Cunxi Yu and Zhiru Zhang

Ch Chapter 17 Machine Learning for Analog Layout

Steven M. Burns, Hao Chen, Tonmoy Dhar, Ramesh Harjani, Jiang Hu, Nibedita Karmokar, Kishor Kunal, Yaguang Li, Yishuang Lin, Mingjie Liu, Meghna Madhusudan, Parijat Mukherjee, David Z. Pan, Jitesh Poojary, S. Ramprasath, Sachin S. Sapatnekar, Arvind K. Sharma, Wenbin Xu, Soner Yaldiz and Keren Zhu

Ch Chapter 18 ML for System-Level Modeling

Erika S. Alcorta, Philip Brisk and Andreas Gerstlauer

Ch Chapter 2 Deep Learning for Routability

Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Rongjian Liang, Erick Carvajal Barboza and Yiran Chen

Ch Chapter 3 Net-Based Machine Learning-Aided Approaches for Timing and Crosstalk Prediction

Rongjian Liang, Zhiyao Xie, Erick Carvajal Barboza and Jiang Hu

Ch Chapter 4 Deep Learning for Power and Switching Activity Estimation

Yanqing Zhang

Ch Chapter 5 Deep Learning for Analyzing Power Delivery Networks and Thermal Networks

Vidya A. Chhabria and Sachin S. Sapatnekar

Ch Chapter 6 Machine Learning for Testability Prediction

Yuzhe Ma

Ch Chapter 7 Machine Learning for Logic Synthesis

Rajarshi Roy and Saad Godil

Ch Chapter 8 RL for Placement and Partitioning

Anna Goldie and Azalia Mirhoseini

Ch Chapter 9 Deep Learning Framework for Placement

Yibo Lin, Zizheng Guo and Jing Mai

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DOI: 10.1007/978-3-031-13074-8

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