This webinar will discuss two aspects of their experience going from RTL to HLS. The first topic is using HLS for algorithms such as Face Detection that they know well with RTL for comparison. The second is to use HLS to develop new Neural Network accelerators and how HLS could help them get from algorithm to critical FPGA demonstrators in a time that would not be possible with traditional RTL flow.

This webinar is part 8 of the webinar series HLS for Vision and Deep Learning Hardware Accelerators.

What you will learn:

  • Customer's experience using HLS for Image Processing and AI
  • Using HLS for algorithms such as Face Detection with RTL for
    comparison
  • How to use HLS to develop new Neural Network accelerators
  • How HLS can help get from algorithm to critical FPGA demonstrators
    faster than with traditional RTL flow

相關資訊

BlueDot:利用 Catapult HLS 加快神經網路型 Deepfield-PQO 的設計速度
White Paper

BlueDot:利用 Catapult HLS 加快神經網路型 Deepfield-PQO 的設計速度

為了要找到最佳的架構,會需要重複的合成並且嘗試多種的輕量化技術,導入 Catapult HLS 簡化此流程,我們能夠透過 HLS 流程快速取得以 FPGA 和 ASIC 為目標的 IP 程式碼。