Title
Anna Goldie
Country
USA
Affiliation
Google Brain
Presentation Type
Webinar
Event 1: Machine Learning for EDA
Presenter
Title
Azalia Mirhoseini
Country
USA
Affiliation
Google Brain
Title
David Z. Pan
Country
USA
Affiliation
University of Texas at Austin
Title
Jiang Hu
Affiliation
Texas A&M University
Title
Song Han
Country
USA
Affiliation
MIT
Title
Shao-Yun Fang
Country
TWN
Affiliation
National Taiwan University of Science and Technology
Presentation Menu
Abstract
Talk 1 (0‘-20‘): Reinforcement Learning for Placement Optimization
Talk 2 (20‘-35‘): AI-Enabled Agile IC Physical Design and Manufacturing
Talk 3 (35‘-50‘): Plug-in Use of Machine Learning and Beyond
Talk 4 (50‘-65‘): Efficient AI, TinyML, Model Compression
Talk 5 (65‘-80‘): Pin Access Optimization Using Machine Learning
Panel (80‘-120‘)
Q&A
Description
Organizers:
Yiran Chen, Duke University
Tsung-Yi Ho, NTHU
Due to the outbreak of corona virus (COVID-19), almost all conferences/symposiums in design automation community are cancelled/postponed. People are not able to meet each other, learn recent advances, and discuss research ideas. The whole community is quarantined, just like shrouded in darkness made by COVID-19. Thus, it is about time to bring the light from inspired scholars in our community and therefore we are thrilled to announce Design Automation WebiNar (DAWN) to drive research momentum and ensure our community remains at the cutting edge. Different from conventional keynote- and sole-speaker-style webinars, DAWN is a special-session-style webinar. DAWN is formed by multiple presentations on focused topic by leading experts in our community.
The first DAWN will be on the topic of Machine Learning for EDA. It will consist of five excellent talks followed by Q&A with the panelists. Finally, we are thrilled to offer you the opportunity to attend DAWN and encourage your participation on May 7.