This workshop focuses on Machine Learning (ML) methods for all aspects of CAD and electronic system design. The predecessor of this workshop was held at the Design, Automation and Test in Europe (DATE) Conference in March 2019. The workshop is sponsored by both IEEE Council on Electronic Design Automation (CEDA) and ACM Special Interest Group on Design Automation (SIGDA).
MLCAD 2019 is held at the Solara Resort & Spa, which is located in Canmore, Alberta, Canada (details, click here) The location is near to the Canadian Rocky Mountains and the beautiful Banff National Park of Canada. The location is reachable with flights to Calgary International Airport (YYC), which is about one hour drive away. The workshop’s location offers unforgettable and unique opportunities for hiking and underground exploration of Canmore caves.
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. As such, the purpose of the workshop is to discuss, define and provide a roadmap for the special needs for ML for CAD where CAD is broadly defined as design time techniques as well as run-time techniques.
Several invited talks from industry and academia will be about half an hour whereas presentations from submissions will be around fifteen minutes. Optional proceedings with submissions will be organized around the time of the workshop itself. Presentation will not be required for attendance.
1. Presenter: Submit a half page abstract ~500 words including title and authors and submit PDF to submission website. Accepted submissions entitle to a talk at the workshop and a full paper submission to the 1st ACM/IEEE Workshop on MLCAD post workshop proceedings .
2. Attendee: We encourage senior researchers as well as PhD students to be part of this first workshop. Participation is limited to maintain the creative open discussion atmosphere of the workshop. Registration deadline is August 4 2019. Registration will be handled on a first-come, first-serve basis.
Contributing a full paper to the ACM/IEEE MLCAD proceedings is optional. Formal shared ACM/IEEE proceedings will be published after the workshop. All speakers are invited to submit full papers about two months after the workshop.