Invention Grant
- Patent Title: Neural network processor
-
Application No.: US16824411Application Date: 2020-03-19
-
Publication No.: US11049016B2Publication Date: 2021-06-29
- Inventor: Jonathan Ross , Norman Paul Jouppi , Andrew Everett Phelps , Reginald Clifford Young , Thomas Norrie , Gregory Michael Thorson , Dan Luu
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Lerner, David, Littenberg, Krumholz & Mentlik, LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F15/80 ; G06N3/063 ; G06N5/04

Abstract:
A circuit for performing neural network computations for a neural network comprising a plurality of neural network layers, the circuit comprising: a matrix computation unit configured to, for each of the plurality of neural network layers: receive a plurality of weight inputs and a plurality of activation inputs for the neural network layer, and generate a plurality of accumulated values based on the plurality of weight inputs and the plurality of activation inputs; and a vector computation unit communicatively coupled to the matrix computation unit and configured to, for each of the plurality of neural network layers: apply an activation function to each accumulated value generated by the matrix computation unit to generate a plurality of activated values for the neural network layer.
Public/Granted literature
- US20200218981A1 Neural Network Processor Public/Granted day:2020-07-09
Information query