Electronic Design Automation (EDA) of advanced CMOS circuits, heterogeneous and domain-specific computing architectures, silicon photonics, etc., leverage advancements in computing and algorithmic methods to reduce development cycles and improve the quality of results. Researchers in Canada have made strong contributions to EDA, leading to new products and commercial startups. Canada’s complementary focus on AI creates a unique opportunity and competitive advantage to drive next-generation EDA/CAD featuring novel AI techniques to address microsystems design challenges.
The goal of this ½-day workshop is to bring AI and EDA/CAD researchers in Canada together to present leading-edge work and discuss opportunities for collaboration and related infrastructure requirements to enable next-generation EDA/CAD tools powered by AI.
Types of questions for discussion:
- Which areas of EDA/CAD have the best potential to utilize AI/ML techniques?
- Are the AI/ML approaches scalable? Can they be generalized to different designs? Can they achieve better results than traditional EDA solutions?
- What infrastructure is needed? What training datasets are required and how can these be made available?
Target Attendees
The prime target attendees are researchers in AI/machine learning, CAD/EDA, or both, who wish to:
- Share insights and experiences with others; explore collaboration opportunities and connect with leaders from academia and industry
- Promote innovation and adoption of advanced technologies
- Influence CMC’s technology selection (roadmap) and development activities for emerging AI trends.
Pre-requisites
You have a computer running Zoom and an internet connection.
Preliminary Agenda
| Time | Presenter | Organization | Presentation Title |
| 1:00 pm | Hugh Pollitt-Smith | CMC Microsystems | Welcome |
| 1:10 pm | Dr. André Ivanov and Sebastian Zhou | University of British Columbia | |
| 1:30 PM | Dr. Brett Meyer | McGill University | Probabilistic Sequential Multi-Objective Optimization of Convolutional Neural Networks |
| 1:50 pm | Dr. Laleh Behjat | University of Calgary | |
| 2:10 pm | Dr. Nachiket Kapre | University of Waterloo | FPGA CAD and Design Optimization with Machine Learning |
| 2:30 pm | Break | ||
| 2:50 pm | Dr. Matthew E. Taylor | University of Alberta & Alberta Machine Intelligence Institute (Amii) | |
| 3:10 pm | Dr. Shawki Areibi | University of Guelph | |
| 3:30 pm | Dr. Yuri Grinberg | National Research Council Canada | |
| 3:50 pm | Dr. Huang Yu | Huawei | Deep Learning in EDA |
| 4:10 pm | Panel and Open Discussion | ||
| 5:00 pm | Workshop close | ||
Pricing and Registration
| Attendee Group | Price | Registration |
| General Registrant | $0* | Registration closed. |
*This event is sponsored by Huawei and therefore is at no cost to the participants.
Contact
If you have any comments or questions regarding the course content or registration, please contact Hugh Pollitt-Smith (email: pollitt-smith@cmc.ca).
Cancellations
Course cancellations must be received in writing at least one (1) week before the beginning date of the course in question to receive a full refund of the registration fee. A cancellation made after the deadline will not receive a refund. CMC Microsystems makes no commitments on refunds for travel or accommodations.