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Many artificial intelligence (AI) processing tasks,especially those related to deep neural networks (DNNs),are both computation and memory intensive.Yet the traditional computing platforms such as CPU are increasingly facing difficulties in dealing with those massive processing workloads.Reconfigurable computing (RC)features the ability to perform computations in hardware to increase execution capabilities,and at the same time retain much of the flexibility of a software solution.The microchip design based on the reconfigurable computing models and principles has emerged as an effective means to ensure that the AI applications can be accelerated to not only meet the performance and throughput targets but also the power and energy efficiency requirements.