The Virtual MLCAD workshop focuses on Machine Learning (ML) methods for all aspects of CAD and electronic system design. The predecessor of this workshop series was held at the Design, Automation and Test in Europe (DATE) Conference in March 2019, followed by the inaugural regular workshop in Banff, Canada, in September 2019. The workshop is sponsored by both IEEE Council on Electronic Design Automation (CEDA) and ACM Special Interest Group on Design Automation (SIGDA).
Sponsor Type:1; 9
General Chair
Raviv Gal, IBM Research, Haifa
General Vice Chair
Paul Franzon, North Carolina State University
Technical Program Chairs
Hai (Helen) Li, Duke University
Technical Program Vice chair
Avi Ziv, IBM Research, Haifa
Special Session Chair
Hussam Amrouch, University of Stuttgart
Finance Chair
Yibo Lin, Peking University
Publicity Chair
Haoxing Ren, Nvidia Research, Austin
Topics of interest to this workshop include but are not limited to:
• ML for system-level design
• ML approaches to logic design
• ML for physical design
• ML for analog design
• ML for analog design
• ML for Design Technology Co-Optimization (DTCO)
• ML methods to predict aging and reliability
• Labeled and unlabeled data in ML for CAD
• ML techniques for resource management in many cores
• ML for Verification and Validation
09月01日
2021
09月02日
2021
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