A PYNQ-compliant online platform for ZYNQ-based DNN developers

C Chen, J Xia, W Yang, K Li, Z Chai - Proceedings of the 2019 ACM …, 2019 - dl.acm.org
C Chen, J Xia, W Yang, K Li, Z Chai
Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019dl.acm.org
The Zynq heterogeneous SoC from Xilinx is able to supporting software/hardware co-
designing in one single chip, making it possible to take advantage of software flexibility and
hardware acceleration at the same time. PYNQ project from Xilinx is trying to take advantage
of high performance and low power consumption of Zynq while improve its programmability.
In order to improve the ecosystem of PYNQ and help more embedded AI applications use
the Zynq-based high-efficiency computational engine, this paper proposes a PYNQ …
The Zynq heterogeneous SoC from Xilinx is able to supporting software/hardware co-designing in one single chip, making it possible to take advantage of software flexibility and hardware acceleration at the same time. PYNQ project from Xilinx is trying to take advantage of high performance and low power consumption of Zynq while improve its programmability. In order to improve the ecosystem of PYNQ and help more embedded AI applications use the Zynq-based high-efficiency computational engine, this paper proposes a PYNQ-compliant online platform (OpenHEC-PYNQ) that integrates all necessary factors for the Zynq-based DNN developer. This platform makes HDL/HLS designers able to access all resources they needed via the Internet and finish all jobs one-stop. To show effectiveness of this platform, a YOLOv2 FPGA acceleration library is implemented based on OpenHEC-PYNQ.
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