Invention Grant
- Patent Title: Accelerating parallel processing of data in a recurrent neural network
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Application No.: US16734647Application Date: 2020-01-06
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Publication No.: US11042797B2Publication Date: 2021-06-22
- Inventor: Karthikeyan Sankaralingam , Yunfeng Li , Vinay Gangadhar , Anthony Nowatzki
- Applicant: SimpleMachines Inc.
- Applicant Address: US WI Madison
- Assignee: SimpleMachines Inc.
- Current Assignee: SimpleMachines Inc.
- Current Assignee Address: US WI Madison
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06N3/04

Abstract:
According to exemplary embodiments, a method, processor, and system for accelerating a recurrent neural network are presented. A method of accelerating a recurrent neural network may include distributing from a first master core to each of a plurality of processing cores a same relative one or more columns of weight matrix data for each of a plurality of gates in the neural network, broadcasting a current input vector from the first master core to each of the processing cores, and processing each column of weight matrix data in parallel, at each of the respective processing cores.
Public/Granted literature
- US20200218965A1 ACCELERATING PARALLEL PROCESSING OF DATA IN A RECURRENT NEURAL NETWORK Public/Granted day:2020-07-09
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