Solido’s 4th Annual DAC 2017 Panel:
EDA Powered by Machine Learning
Monday, June 19, 2017, 10:30 AM – 11:30 AM
Room 10AB, Austin Convention Center, Austin, TX
Machine Learning is making an enormous impact in a variety of fields, but how about EDA? Fast growing semiconductor market segments, including high-performance computing, automotive, mobile, and internet of things (IoT), are driving the need for electronic design automation (EDA) software tools to advance even more quickly in addressing increased complexity. Machine Learning has already started to play a major role in EDA, and has further opportunities to provide disruptive technology breakthroughs to address semiconductor challenges.
This panel discussion will focus on technologies and opportunities to address semiconductor challenges using machine learning. Examples will be covered on how machine learning technologies are already delivering disruptive runtime, resource, and productivity benefits, including areas such as variation-aware design and characterization.
- Amit Gupta, Solido Design Automation
- Ting Ku, NVIDIA
- Sorin Dobre, Qualcomm
- Eric Hall, Broadcom
- Jeff Dyck, Solido Design Automation
Seating is limited – please pre-register below. You only need an ‘exhibits badge’ to attend the panel, and if you register for DAC by May 26, the exhibits badge is free.