DAC System Design Contest


The DAC System Design Contest focuses on object detection and classification on an embedded GPU or FPGA system. Contestants will receive a training dataset provided by Baidu, and a hidden dataset will be used to evaluate the performance of the designs in terms of accuracy and speed. Contestants will compete to create the best performing design on a Nvidia Jetson Nano GPU or Xilinx Kria KV260 FPGA board. Grand cash awards will be given to the top three teams. The award ceremony will be held at the 2024 IEEE/ACM Design Automation Conference.

Contest finalists will be invited to give presentations at the Design Automation Conference, June 23-27, 2024 in San Francisco, CA.

To register or find more information, please visit: https://pku-sec-lab.github.io/dac-sdc-2024/

General Inquires:

Email: meng.li@pku.edu.cn


  • Meng Li - Peking University
  • Qi Sun - Zhejiang University
  • Sitao Huang - University of California Irvine
  • Atefeh Sohrabizadeh - University of California Los Angeles
  • Peng Cao - National Center of Technology Innovation for EDA, Southeast University

Previous Contest Winning Designs



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