- Xilinx Zynq® UltraScale+™ MPSoC ZCU102 FPGA development board.
- Xilinx Zynq-7000 ZC706 board.
Is Deep Learning HDL Toolbox supports Xilinx All Programmable 7000 ZC702 board?
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Hello,
It is noticed that, the demos of Deep Learning HDL Toolbox avaialble are inplemented with Intel Arria10 SoC, Xilinix ZCU102, and ZC706. But currently i have Xilinx ZC702 board. Is this board (ZC702) supported by Deep Learning HDL Toolbox?
Thank you.
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Answers (2)
stozaki
on 20 Sep 2020
Edited: stozaki
on 20 Sep 2020
Hello TURIMERLA PRATAP,
In R2020b.
Only the following boards are supported when using prototyping workflows on XILINX devices.
This is specified in the release notes.
About custom boards :
Integrate the code generated from your customized design into your reference design for deploying to your custom board.
For more information, see Generate Custom Processor IP.
The resource usage when implementing zcu102 and zc706 is as follows. If you use zc702, you may run out of resources.
stozaki
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Walter Roberson
on 20 Sep 2020
Ah. I would recommend changing the wording of https://www.mathworks.com/help/supportpkg/xilinxdeeplearning/index.html then, as the "SoC boards such as" implies that other boards are supported as well.
stozaki
on 20 Sep 2020
Hello Walter,
I strongly agree with your point. I will give feedback it to the MathWorks documentation team.
Thank you very much.
stozaki
Walter Roberson
on 20 Sep 2020
Supported devices include Xilinx Zynq® SoC boards such as ZC706 and Zynq Ultrascale+ MPSoC boards such as ZCU102
As the ZC702 is a SoC, then I would suspect it should be supported.
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