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Test bed
{| class="wikitable" style="margin: auto;"
|+
Host and target configurations
!
!Component
!Name/version
!Version
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| rowspan="2" |Host
|Operating system|GNU/Linux Ubuntu|18.04
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|Software development platform|Vitis|1.2
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| rowspan="2" |Target
|}
The target was configured in order to leverage the hardware acceleration provided by the [https://www.xilinx.com/products/intellectual-property/dpu.html Xilinx Deep Learning Processor Unit (DPU)]. This , which is an IP was instantiated in the Programmable Logic (PL)as depicted in the following block diagram. TBD In particular, this is the DPU-related subsystem: TBD Interestingly, to some extent, the DPU can be customized in order to find the optimal trade-off between performances and resource allocation. The default configuration of the DPU used for the initial testing is shown in the following images{| class="wikitable"|+DPU default configuration!|-|TBD|-|TBD|-|TBD|}
==Building the application==
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