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HARDWARE CIRCUIT FOR ACCELERATING NEURAL NETWORK COMPUTATIONS

机译:用于加速神经网络计算的硬件电路

摘要

Methods, systems, and apparatus, including computer-readable media, are described for a hardware circuit configured to implement a neural network. The circuit includes multiple super tiles. Each super tile includes a unified memory for storing inputs to a neural network layer and weights for the layer. Each super tile includes multiple compute tiles. Each compute tile executes a compute thread that is used to perform the computations to generate an output for the neural network layer. Each super tile includes arbitration logic coupled to the unified memory and each compute tile. The arbitration logic is configured to: pass inputs stored in the unified memory to the compute tiles; pass weights stored in the unified memory to the compute tiles; and pass, to the unified memory, the output generated for the layer based on computations performed at the compute tiles using the inputs and the weights for the layer.
机译:描述包括计算机可读介质的方法,系统和装置,包括被配置为实现神经网络的硬件电路。该电路包括多个超级瓦片。每个超级瓦片包括统一存储器,用于将输入存储到神经网络层和该层的权重。每个超级瓦片包括多个计算图块。每个计算图块执行计算线程,用于执行计算以生成神经网络层的输出。每个超级瓦片包括耦合到统一内存和每个计算图块的仲裁逻辑。仲裁逻辑配置为:将存储在统一内存中的输入传递给Compute Tiles;将统一内存中的重量传递给计算图块;并通过,到统一存储器,基于使用该层的输入和权重在计算图块上执行的计算生成的图层。

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