"Thinker” is an energy-efficient hybrid neural network (NN) processor fabricated using 65nm technology. It has two 16x16 reconfigurable heterogeneous processing elements (PEs) arrays. To accelerate a hybrid-NN, PE array is designed to support on demand partitioning and reconfiguration for parallel processing different NNs. To improve the energy efficiency, each PE supports bit-width adaptive computing to meet variant bit-width of different neural layers. Measurement results show that this processor achieves a peak 409.6GOPS running at 200MHz and at most 5.09TOPS/W energy efficiency. It outperforms the state-of-the-art up to 5.2X in energy efficiency.
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Thinker - Reconfigurable Neural Network Processor
创建: Apr 06, 2018 | 12:43