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

針對不同的 FPGA 平台最佳化 HLS 程式碼
White Paper

針對不同的 FPGA 平台最佳化 HLS 程式碼

在此白皮書中，我們將審視一個簡易的卷積濾波器，並概述如何使用 HLS 將它導入至不同的 FPGA 平台。我們還將著重於導入不同平台時為獲得最佳效能可能需要的不同最佳化，以及可用來獲得更佳效能的編碼形式。

Rapid Algorithm to HW: Using HLS for Computer Vision and Deep Learning Seminar
Webinar

Rapid Algorithm to HW: Using HLS for Computer Vision and Deep Learning Seminar

How HLS helps project teams rapidly & accurately explore power/performance of algorithms, quickly get to FPGA implementations to create demonstrator/prototypes & use same source RTL IP for ASIC implementation.