Invention Grant
- Patent Title: Neural network unit with output buffer feedback for performing recurrent neural network computations
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Application No.: US15090814Application Date: 2016-04-05
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Publication No.: US10552370B2Publication Date: 2020-02-04
- Inventor: G. Glenn Henry , Terry Parks , Kyle T. O'Brien
- Applicant: VIA ALLIANCE SEMICONDUCTOR CO., LTD.
- Applicant Address: CN Shanghai
- Assignee: VIA ALLIANCE SEMICONDUCTOR CO., LTD.
- Current Assignee: VIA ALLIANCE SEMICONDUCTOR CO., LTD.
- Current Assignee Address: CN Shanghai
- Agency: McClure, Qualey & Rodack, LLP
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06F15/82 ; G06F1/10 ; G06F9/30 ; G06F9/32 ; G06F9/38 ; G06F9/445 ; G06N3/063 ; G06N3/08 ; G06F7/499 ; G06F7/483

Abstract:
A neural network unit has at least one RAM, an output buffer and an array of neural processing units that: read first time step context layer node values from the output buffer; read second time step input layer node values from the RAM; generate second time step hidden layer node values based on the read input and context layer node values; output the hidden layer node values to the output buffer rather than to the RAM; read the hidden layer node values from the output buffer; generate second time step context layer node values based on the read hidden layer node values; output the context layer node values to the output buffer rather than to the RAM; generate output layer node values using the hidden layer node values; write the output layer node values to the RAM; and repeat for a sequence of time steps.
Public/Granted literature
- US20170103303A1 NEURAL NETWORK UNIT WITH OUTPUT BUFFER FEEDBACK FOR PERFORMING RECURRENT NEURAL NETWORK COMPUTATIONS Public/Granted day:2017-04-13
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