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High Level Synthesis for Deep Learning.

This repo has codes for hardware accelerator design for Deep CNNs using high level synthesis from Altera.

Requirements:

  • Visual Studio 2013 (the project was developed using windows host). Porting to linux should be straight forward.
  • OpenCV 2 was used in the host program for image capture and processing.
  • Intel OpenCL SDK 14.0
  • The binary files provided in this repo are for DE5-Net board (Stratix V FPGA board from Altera). But if you want you can use the same codes to compile for any other board supporting OpenCL SDK.

Setup:

  • Clone this repo.
  • Download the test data (in binary format) from here and put it in the project directory.
  • Un-zip the downloaded alexNet_de5v2_data.zip file.
  • Folder structure should look like:
    • HLS_for_CNN
      • alexNet_de5v2
      • common
      • Model
      • Data
      • README.md

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This repo has codes for hardware accelerator design for CNNs using high level synthesis from Altera.

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