2020 International Conference On Computer Aided Design

The Premier Conference Devoted to Technical Innovations in Electronic Design Automation

November 2-5, 2020VIRTUAL CONFERENCE

MP Associates, Inc.
MONDAY November 02, 9:30am - 10:00am | Slot 1
EVENT TYPE: ADDITIONAL MEETING
SESSION 22
Delivering Improved Design Performance by Applying Machine Learning to EDA
As advanced process nodes become ever smaller, design performance goals always seem to increase, not just for clock frequency, but also power and area. To meet these challenging requirements, Cadence continually research new, innovative, technologies which will help deliver the latest high performance silicon devices. Machine learning is a good example, and shows great potential to further improve digital design automation.  During this paper Cadence will discuss how Machine Learning can being used within digital implementation tools, and as part of flow optimization, to deliver better productivity and design performance.



Biography: Dr Venkat Thanvantri is VP of R&D at Cadence where he leads the AI/ML development for the Digital and Signoff Products. Venkat holds a PhD from University of Florida and a Master’s from Indian Institute of Sciences. He has over 20 years of experience in developing, managing, and deploying multiple EDA tools in the areas of timing, extraction, characterization, power and place & route.





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