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Heterogeneous computing is rapidly gaining increased attention due to the promise it holds in overcoming power and performance walls in traditional computing systems. With its focus on customized processing nodes dedicated to the different tasks in an application, it is hoped that these walls will be overcome. Therefore, CPU-FPGA co-architectures are also gaining ground in application areas like recognition,...
This paper proposes a novel distributed parallel EM modeling technique to speed up the process of neural network modeling for EM structures. Existing techniques for EM modeling usually need to repeatedly change the parameters of microwave devices and drive the EM simulator to obtain sufficient training and testing samples. As the complexity in EM modeling problem increases, traditional techniques...
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