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An energy-efficient hybrid neural network (NN) processor is implemented in a 65nm technology. It has two 16×16 reconfigurable heterogeneous processing elements (PEs)arrays. To accelerate a hybrid-NN, the PE array is designed to support on demand partitioning and reconfiguration for parallel processing different NNs. To improve energy efficiency, each PE supports bit-width adaptive computing to meet...
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