IEEE CEDA Workshop on Machine Learning for CAD

IEEE CEDA Workshop on Machine Learning for CAD

This workshop focuses on machine learning methods for all aspects of CAD for VLSI and electronic system design. Advances in machine learning (ML) over the past half-dozen years have revolutionized the effectiveness of ML for a variety of applications. However, design processes present challenges that require parallel advances in ML and CAD as compared to traditional ML applications such as image classification.

Topics of interest to this workshop include but are not limited to:

  • ML approaches to logic design.
  • Machine learning for physical design.
  • ML for analog design.
  • Machine learning methods for aging and reliability.
  • Labeled and unlabeled data in ML for CAD.
  • ML for power and thermal management.
  • ML for multicore and manycore systems.