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HARDWARE NODE WITH POSITION-DEPENDENT MEMORIES FOR NEURAL NETWORK PROCESSING

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

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.
机译:提供了用于神经网络处理的处理器和方法。处理器中的方法,包括:管线,其具有矩阵向量单元(MVU),被连接以接收来自MVU的输入的第一多功能单元,被连接以接收来自第一多功能单元的输出的第二多功能单元和第三多功能单元提供了连接以接收来自第二多功能单元的输出的电路。该方法包括解码指令,该指令包括仅用于由MVU进行处理的第一类型的指令和仅用于由多功能单元中的一个进行处理的第二类型的指令。该方法包括取决于第一指令是第一类型指令还是第二类型,将要由矩阵矢量单元处理的第一指令映射到第一多功能单元,第二多功能单元或第三多功能单元中的任何一个。教学。

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