Date: July 10, 2023
Location: Moscone Center West, San Francisco
ACM SIGDA/IEEE CEDA University Demonstration (UD, previously University Booth) is a great opportunity for university researchers to showcase their results and to interact with participants at the Design Automation Conference (DAC). Presenters and attendees at DAC are especially encouraged to participate, but participation is open to all members of the university community. The demonstrations include new EDA tools, EDA tool applications, design projects, and instructional materials.
The University Demonstration will be held together with the ACM SIGDA/IEEE CEDA Ph.D. Forum at DAC.
Submission should be made online at https://easychair.org/conferences/?conf=uddac2023. Please upload a single PDF file with the title, list of authors and their affiliations, an extended abstract up to 2 pages excluding figures and references, and a YouTube link to a 5-minute online video teaser. If you are not able to upload it to YouTube, please include another link to your video teaser. You may optionally attach a supporting paper.
There will be three "University Demo Best Demonstration" awards and travel support for presenters up to $700 for each team to attend the University Demonstration event in person. The presenter will be provided full registration to this year's DAC. The winners will be announced at the conference after the demonstration. The presenter will only be eligible for travel support if he/she does not receive any travel support from other events at DAC.
First place: $1000
Second place: $750
Third place: $500
Submission deadline: May 29, 2023, 11:59 PM AOE
Submission site: https://easychair.org/conferences/?conf=uddac2023
Video demonstrations should include a brief title sequence identifying the name of the research group and university, the team members, and stating "ACM SIGDA/IEEE CEDA University Demonstration at DAC 2023." Otherwise, there is complete freedom in how a group wishes to present its work.
Moscone Center West, San Francisco
All questions about submissions should be emailed to peipei.zhou@pitt.edu
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