MONDAY June 25, 1:30pm - 5:00pm | Room 3020
Claudionor Coelho - Google, Inc., Mountain View, CA
Jeff Dyck - Mentor, A Siemens Business, Saskatoon, SK, Canada
The second part of the tutorial focuses on the more practical aspects of applying different algorithms to solve classical EDA problems. Solving production problems within electronic design automation is complex. Production engineering applications have accuracy, scalability, complexity, verifiability, and usability requirements that are not met by traditional machine learning approaches. These additional challenges frequently cause production machine learning approaches to fail. The presentation covers these engineering-specific challenges and presents some effective solutions.