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HARDWARE NODE WITH POSITION-DEPENDENT MEMORIES FOR NEURAL NETWORK PROCESSING
HARDWARE NODE WITH POSITION-DEPENDENT MEMORIES FOR NEURAL NETWORK PROCESSING
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机译:具有位置依赖性存储器的硬件节点,用于神经网络处理
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摘要
Processors and methods for neural network processing are provided. A method in a processor including a pipeline having a matrix vector unit (MVU), a first multifunction unit connected to receive an input from the MVU, a second multifunction unit connected to receive an output from the first multifunction unit, and a third multifunction unit connected to receive an output from the second multifunction unit is provided. The method includes decoding instructions including a first type of instruction for processing by only the MVU and a second type of instruction for processing by only one of the multifunction units. The method includes mapping a first instruction for processing by the matrix vector unit or to any one of the first multifunction unit, the second multifunction unit, or the third multifunction unit depending on whether the first instruction is the first type of instruction or the second type of instruction.
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