Abstract:FPGA-based acceleration is considered a promising approach to improve the performance and power efficiency of Deep Neural Network (DNN) inference tasks. However, mapping a DNN onto an FPGA is not trivial. To make this easier, various automation frameworks have been proposed. Among them, FINN and Vitis AI, both developed by Xilinx, are two key players. They represent two different philosophies in designing FPGA-based DNN accelerators: dataflow-style and overlay-style architectures. Dataflow architectures are ge… Show more
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