Virtual MLCAD 2021

3rd ACM/IEEE Workshop on Machine Learning for CAD (MLCAD)
August/30 - September/3, 2021


Workshop Update August 2021

Virtual MLCAD 2021 is just around the corner!
We have a great program containing 10 keynote and plenary speeches from renowned companies (Siemens, Intel, google, IBM and from the academia). More than 20 contributed papers will be presented after rigorous review. A great special session on “Insights and Lessons from Negative Results” will also be held.

The detailed program is now available here. Registration is open here and the Early Registration deadline is Aug-20, 2021.

20 minute presentations of contributed papers will be made available to registered attendees. During the workshop itself, we will then focus on short highlight talks about the papers to kick off lively discussion and interaction. The workshop will run for 3 hours every day, Monday August 30 to Friday September 3. 

Update July 2021

    Due to the uncertainty in travel, we decided that MLCAD-2021 will be held virtually also this year. Virtual plan will take place from Aug-30 (Monday) to Sep-3 (Friday).


    The 3rd edition of MLCAD workshop focuses on Machine Learning (ML) methods for all aspects of CAD and electronic system design. Due to health and travel limitations, we plan to have a hybrid events, physically hosted at North Carolina State University and online. The workshop is sponsored by both IEEE Council on Electronic Design Automation (CEDA) and ACM Special Interest Group on Design Automation (SIGDA). 


Virtual MLCAD 2020 will be held virtually this year from Aug-30 (Monday) to Sep-3 (Friday) due to COVID-19. 


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.

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

Workshop Format

Due to health and travel limitations, we plan to have a hybrid events, physically hosted at North Carolina State University and online.

All accepted papers will be published in a proceedings by IEEE which will be made available in IEEExplore. Several exciting keynote and plenary talks from both industry and academia will enhance the presentations about contributed papers.

Each accepted paper is expected to be presented physically or virtually by one of the authors at the workshop. Each accepted paper requires one registration.

Important Dates

Paper Submission: May 23, 2021 

Author Notification: July 2, 2021 

Camera-Ready Version: July 30, 2021

Registration Opens: August 5, 2021

Early Registration Deadline: August 20, 2021

Workshop: August/30 - September/3, 2021


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