Deep Learning FPGA Deployment on Xilinx ZCU104

I would like to Prototype Deep Learning Networks on Xilinx ZCU104 board, as shown here: https://www.mathworks.com/help/deep-learning-hdl/deployment.html.

On your website you list the supported boards by Deep Learning HDL Toolbox, under: https://mathworks.com/help/deep-learning-hdl/ug/supported-networks-layers-and-boards.html, which does not include ZCU104 board.

Would it be possible to deploy a network on ZCU104 board, using the Deep Learning HDL Toolbox Support Package for Xilinx FPGA, as shown in this example: https://mathworks.com/help/deep-learning-hdl/ug/get-started-with-deep-learning-fpga-deployment-on-xilinx-zcu102.html?

Thanks in advance.

Answer 1

[Shashank Gupta]

Hi Hanna,

As of R2020b, We only support following boards.

• Xilinx Zynq-7000 ZC706 board
• Xilinx Zynq® UltraScale+™ MPSoC ZCU102 FPGA development board.

Although for custom boards, you can integrate the code generated from your customized design into your reference design for deployment. Check out this link.

I hope this gives you a headstart.

Cheers.