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Panel – Machine Learning Advances in Electronic Design

Christopher Cheng (Distinguished Technologist, Hewlett-Packard Enterprise)

Paul Franzon (Cirrus Logic Distinguished Professor, North Carolina State University)

David White (Senior Director of R&D, Cadence Design Systems)

Madhavan Swaminathan (John Pippin Chair Professor, Georgia Institute of Technology)

Sashi Obilisetty (R&D Director, Synopsys)

Location: Ballroom D

Date: Tuesday, January 30

Time: 4:45pm - 6:00pm

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Track: 04. System Co-Design: Modeling, simulation and measurement validation

Format: 75-Minute Panel Discussion

Vault Recording: TBD

Center for Advanced Electronics Through Machine Learning (CAEML) has made significant progress and expansion since it was established in 2016. In this panel discussion, we will highlight selected machine learning applications within the center’s research areas and member companies own developments. From high speed design, power analysis, FPGA compilation, layout generation to system analytics. This is an exciting and fast growing area of technology.

Takeaway

An understanding of machine learning in electronic design and its applications in signal integrity, power analysis, layout, FPGA design and system analytics.