Deep Learning FPGA Deployment on Xilinx ZCU104

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N/A
N/A 2020-12-22
编辑： N/A 2021-1-3
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.

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采纳的回答

Shashank Gupta
Shashank Gupta 2020-12-30
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.

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