What are the big opportunities in the next renaissance of EDA?
TimeTuesday, July 12th3:30pm - 5:30pm PDT
Location3001, Level 3
DescriptionExisting approaches in the field of design and design automation, are facing extraordinary challenges. For example, traditional ways of improving silicon CMOS technologies or designing, verifying and testing integrated circuits and systems are approaching various limits such as physical size, power and reliability limits, as well as complexity limits. At the same time, our dependency on such systems is growing ever faster. This creates major research opportunities for new approaches beyond conventional paths. Moreover, the rise of machine learning and artificial intelligence (ML/AI) applications, the trend towards domain-specific accelerators and computing at the edge, and progress in nano-systems enabled by beyond-silicon CMOS technologies create new opportunities for customized solutions to designing electronic systems.
With these daunting challenges and exciting opportunities as well as the promise of strong funding support, it is expected that there will be a renaissance of EDA! But there are many different opinions on what research directions, funding formats, and business models will propel the arrival of the renaissance. This panel invite a group of research and industry leader as well as funding agency representatives in design and design automation to debate this topic. The panel will start with a summary of the funding landscape in the U.S.. Then, the panelists will give their opinions on issues such as:
What are the biggest technical challenges facing the EDA field today?
What design and design automation research areas should be prioritized for funding?
For a given fixed amount of funding, should fewer but larger efforts or more but smaller efforts be supported?
Since EDA methodologies can be applicable to many engineered systems, will EDA become more “distributed”?
Should EDA follow the model in the ML/AI area to make the tools more accessible by non-expert designers?
Design and EDA companies: what do you need the research community to work on?