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Machine Learning Applications in Electronic Design Automation
Editor
- Haoxing Ren(NVIDIA)Jiang Hu(Texas A&M University)
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-13074-8
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Book Chapters
The following chapters of this book are listed in IDEAS- Andrew B. Kahng & Zhiang Wang, 2022. "ML for Design QoR Prediction," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 3-33, Springer.
- Zhiyao Xie & Jingyu Pan & Chen-Chia Chang & Rongjian Liang & Erick Carvajal Barboza & Yiran Chen, 2022. "Deep Learning for Routability," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 35-61, Springer.
- Rongjian Liang & Zhiyao Xie & Erick Carvajal Barboza & Jiang Hu, 2022. "Net-Based Machine Learning-Aided Approaches for Timing and Crosstalk Prediction," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 63-84, Springer.
- Yanqing Zhang, 2022. "Deep Learning for Power and Switching Activity Estimation," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 85-114, Springer.
- Vidya A. Chhabria & Sachin S. Sapatnekar, 2022. "Deep Learning for Analyzing Power Delivery Networks and Thermal Networks," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 115-150, Springer.
- Yuzhe Ma, 2022. "Machine Learning for Testability Prediction," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 151-180, Springer.
- Rajarshi Roy & Saad Godil, 2022. "Machine Learning for Logic Synthesis," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 183-204, Springer.
- Anna Goldie & Azalia Mirhoseini, 2022. "RL for Placement and Partitioning," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 205-220, Springer.
- Yibo Lin & Zizheng Guo & Jing Mai, 2022. "Deep Learning Framework for Placement," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 221-245, Springer.
- Anthony Agnesina & Yi-Chen Lu & Sung Kyu Lim, 2022. "Circuit Optimization for 2D and 3D ICs with Machine Learning," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 247-275, Springer.
- Haiguang Liao & Levent Burak Kara, 2022. "Reinforcement Learning for Routing," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 277-306, Springer.
- Ahmet F. Budak & Shuhan Zhang & Mingjie Liu & Wei Shi & Keren Zhu & David Z. Pan, 2022. "Machine Learning for Analog Circuit Sizing," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 307-335, Springer.
- Matthew M. Ziegler & Jihye Kwon & Hung-Yi Liu & Luca P. Carloni, 2022. "The Interplay of Online and Offline Machine Learning for Design Flow Tuning," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 339-376, Springer.
- Raviv Gal & Avi Ziv, 2022. "Machine Learning in the Service of Hardware Functional Verification," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 377-424, Springer.
- Haoyu Yang & Yibo Lin & Bei Yu, 2022. "Machine Learning for Mask Synthesis and Verification," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 425-470, Springer.
- Debjit Pal & Chenhui Deng & Ecenur Ustun & Cunxi Yu & Zhiru Zhang, 2022. "Machine Learning for Agile FPGA Design," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 471-504, Springer.
- 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, 2022. "Machine Learning for Analog Layout," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 505-544, Springer.
- Erika S. Alcorta & Philip Brisk & Andreas Gerstlauer, 2022. "ML for System-Level Modeling," Springer Books, in: Haoxing Ren & Jiang Hu (ed.), Machine Learning Applications in Electronic Design Automation, chapter 0, pages 545-579, Springer.
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