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New Filter2D Accelerator on the Versal Platform Powered by the AI Engine

  • Wenbo Zhang,
  • Tianshuo Wang,
  • Yiqi Liu,
  • Yiming Li,
  • Zhenshan Bao

摘要

Filter2D, as a fundamental operator of CNN, has vital optimization and acceleration significance in computer vision (CV) applications, so it is designed as the CCFSys-CCC2023 competition CV track. Based on the CCC2023 competition designated Versal ACAP Architecture, we proposed the AI Engine (AIE) kernel and AIE graph design scheme and reconstructed the programmable logic (PL) and Processing System (PS) accordingly. Results show that, compared to the only PS scheme, our design achieve about 104.51 \(\sim \) 139.41 speedup on the specified platform Versal ACAP, which overcame all other 50+ group and won the championship of CCC2023.