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Team E-to-the-JOmega: RFNoC™ & Vivado® HLS Challenge
Автор: Ettus Research
Загружено: 2017-08-03
Просмотров: 695
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Team E-to-the-JOmega uses open-source components for implementing neural networks in FPGA fabric.
https://github.com/Xilinx/RFNoC-HLS-N...
The RFNoC & Vivado HLS Challenge, sponsored by Ettus Research and Xilinx, rewards engineers for creating innovative and useful open-source RF Network on Chip (RFNoC) blocks that highlight the productivity and development advantage of Xilinx® Vivado® High-Level Synthesis (HLS) for FPGA programming using C, C++, or System C.
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