Hardware circuit for accelerating neural network computations
AssigneeGoogle Inc.
InventorsRavi Narayanaswami, Dong Hyuk Woo, Suyog Gupta, Uday Kumar Dasari
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AssigneeGoogle Inc.
InventorsRavi Narayanaswami, Dong Hyuk Woo, Suyog Gupta, Uday Kumar Dasari
Estimating the term…
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.
An integrated circuit comprising a super tile and configured to implement a neural network comprising a plurality of neural network layers, the super tile comprising:
A method for implementing a neural network comprising a plurality of neural network layers on a super tile comprising a plurality of compute tiles, comprising:
Dependencies are inferred from the claim text.