MONDAY November 02, 8:30am - 9:00am | Slot 1
EVENT TYPE: REGULAR SESSION
SESSION 2A
Machining Learning Techniques for Routing and Hotspot Detection
Moderator:
David Chinnery - Mentor, A Siemens Business
This session builds different machining learning frameworks to improve the routability. The first paper presents a hot-spot detection flow through deep layout metric learning. The second one is a plug-in framework to improve the routing. The last one is a detailed router for analog-mixed-signal designs.
2A.1 | Hotspot Detection via Attention-based Deep Layout Metric Learning | |
Speaker: | Hao Geng - Chinese Univ. of Hong Kong, Shatin, Hong Kong |
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Authors: | Hao Geng - Chinese Univ. of Hong Kong, Shatin, Hong Kong Haoyu Yang - Chinese Univ. of Hong Kong, Shatin, Hong Kong Lu Zhang - Chinese Univ. of Hong Kong, Shatin, Hong Kong Jin Miao - Synopsys, Inc., San Jose, CA Fan Yang - Fudan Univ., Shang Hai, China Xuan Zeng - Fudan Univ., Shanghai, China Bei Yu - Chinese Univ. of Hong Kong, Shatin, Hong Kong |
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2A.2 | PROS: A Plug-in for Routability Optimization applied in the State-of-the-art commercial EDA tool using deep learning | |
Speaker: | Jingsong Chen - Chinese Univ. of Hong Kong, Hong Kong, Hong Kong |
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Authors: | Jingsong Chen - Chinese Univ. of Hong Kong, Hong Kong, Hong Kong Jian Kuang - Cadence Design Systems, Inc., San Jose, CA Guowei Zhao - Cadence Design Systems, Inc., San Jose, CA Dennis J.-H. Huang - Cadence Design Systems, Inc., San Jose, CA Evangeline F.Y. Young - Chinese Univ. of Hong Kong, Shatin, Hong Kong |
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2A.3 | Toward Silicon-Proven Detailed Routing for Analog and Mixed-Signal Circuits | |
Speaker: | Hao Chen - Univ. of Texas at Austin, TX |
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Authors: | Hao Chen - Univ. of Texas at Austin, TX Keren Zhu - Univ. of Texas at Austin, TX Mingjie Liu - Univ. of Texas at Austin, TX Xiyuan Tang - Univ. of Texas at Austin, TX Nan Sun - Univ. of Texas at Austin, TX David Z. Pan - Univ. of Texas at Austin, TX |