June 3, 2022
Program Booklet [pdf]
| Time (ET) | Schedule |
| 9:55-10:00 |
Welcome and Opening Remarks Sudeep Pasricha, Colorado State University Muhammad Shafique, New York University (NYU) Abu Dhabi, UAE |
| 10:00-10:35 |
Keynote: Machine Learning for Agile, Intelligent and Open-Source EDA David Z. Pan, University of Texas at Austin |
| 10:35-10:40 | Break |
| 10:40-11:00 |
Analog and Digital Circuit and Layout Optimization using Machine Learning Sachin S. Sapatnekar, University of Minnesota |
| 11:00-11:20 |
Application of Machine Learning in High Level Synthesis Ankush Sood, Cadence Design Systems |
| 11:20-11:40 |
Combining Optimization and Machine Learning in Physical Design Laleh Behjat, University of Calgary, Alberta, Canada |
| 11:40-12:00 |
Thermal and Power Monitoring and Estimation for Commercial Multicore Processors — A Machine Learning Perspective Sheldon Tan, University of California at Riverside |
| 12:00-12:10 | Break |
| 12:10-12:30 |
Fault Criticality Assessment in AI Accelerators Krishnendu Chakrabarty, Duke University |
| 12:30-12:50 |
Scalable ML Architectures for Real-time Energy-efficient Computing R. Iris Bahar, Colorado School of Mines |
| 12:50-1:10 |
Hardware/Software Codesign for Optical Deep Learning Accelerators Sudeep Pasricha, Colorado State University |
| 1:10-1:20 | Break |
| 1:20-1:40 |
Reliable Processing-in-Memory based Manycore Architectures for Deep Learning: From CNNs to GNNs Partha Pratim Pande, Washington State University |
| 1:40-2:00 |
AI Algorithm and Accelerator Co-design for Computing on the Edge Deming Chen, University of Illinois at Urbana-Champaign |
| 2:00-2:20 |
Dependability and Security of Advanced Machine Learning Systems: Hardware and Software Techniques Muhammad Shafique, New York University (NYU) Abu Dhabi, UAE |
| 2:20-2:40 |
Closing Remarks and Open Forum on Future Directions All speakers and attendees |