TUESDAY June 26, 1:30pm - 3:00pm | Room 3024
TOPIC AREA: EDA, DESIGN
KEYWORD: PHYSICAL DESIGN & DFM, LOW-POWER & RELIABILITY, LOGIC & HIGH-LEVEL SYNTHESIS
EVENT TYPE: SPECIAL SESSION

SESSION 24
The Road to No-human-in-the-Loop Design
Chair:
Noel Menezes - Intel Corp., Hillsboro, OR
Organizer:
Andrew Kahng - Univ. of California, San Diego, La Jolla, CA

Today’s IC design process faces a crisis of cost and risk. Both human cost (i.e., engineering expertise and effort) and schedule cost (i.e., design schedule) are barriers to leading-edge design. This crisis has spurred new research initiatives that seek to substantially reduce the cost of IC design, even to unprecedented “no-human-in-the-loop” and 24-hour turnaround time levels. This session covers technical aspects of RTL-to-GDSII design effort reduction at the leading edge of EDA and design practice -- today and in the future.

The first talk gives a big picture of how IC design can exploit cloud deployment and machine learning toward “no-human-in-the-loop” design. A talk from Qualcomm then highlights where design effort pain points exist today, as well as experiences with reinforcement learning and flow automation/autotuning. The session concludes with an EDA vendor perspective on opportunities and proof points for how EDA will enable design effort reductions for customers.


24.1Reducing Time and Effort in IC Implementation: A Roadmap of Challenges and Solutions
 Speaker: Andrew Kahng - Univ. of California, San Diego, La Jolla, CA
 Author: Andrew Kahng - Univ. of California, San Diego, La Jolla, CA
24.2Efficient Reinforcement Learning for Automating Human Decision-Making in SoC Design
 Speaker: Shankar Sadasivam - Qualcomm Technologies, Inc., San Diego, CA
 Authors: Shankar Sadasivam - Qualcomm Technologies, Inc., San Diego, CA
Rajeev Jain - Qualcomm Technologies, Inc., San Diego, CA
Zhuo Chen - Carnegie Mellon Univ., Pittsburgh, PA
Jinwon Lee - Qualcomm Technologies, Inc. , San Diego, CA
24.3Machine-learning Opportunities in Design Automation
 Speaker: Mayukh Bhattacharya - Synopsys, Inc., Mountain View, CA
 Author: Mayukh Bhattacharya - Synopsys, Inc., Mountain View, CA