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Test bed
|For more details, please refer to the following sections.
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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)], which is an IP instantiated in the Programmable Logic (PL) as depicted in the following block diagram.
Interestingly, to some extent, the DPU IP can be customized in order to find the optimal trade-off between performances and resource allocation. For instance, the actual number of DPU cores can be selected. The default configuration of the DPU used for the initial testing is depicted in the following images. As shownpreviously, in this case, two DPU cores are instantiated (DPU_0 and DPU_1).
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