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US Patent 10366050 Multi-operation neural network unit

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Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10366050
Date of Patent
July 30, 2019
Patent Application Number
15090712
Date Filed
April 5, 2016
Patent Citations Received
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US Patent 11977971 Data volume sculptor for deep learning acceleration
3
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US Patent 11586907 Arithmetic unit for deep learning acceleration
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US Patent 11610362 Data volume sculptor for deep learning acceleration
‌
US Patent 11687762 Acceleration unit for a deep learning engine
7
Patent Primary Examiner
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Sana A Al-Hashemi
Patent abstract

A neural network unit (NNU) includes N neural processing units (NPU). Each NPU has an arithmetic unit and an accumulator. First and second multiplexed registers of the N NPUs collectively selectively operate as respective first and second N-word rotaters. First and second memories respectively hold rows of N weight/data words and provide the N weight/data words of a row to corresponding ones of the N NPUs. The NPUs selectively perform: multiply-accumulate operations on rows of N weight words and on a row of N data words, using the second N-word rotater; convolution operations on rows of N weight words, using the first N-word rotater, and on rows of N data words, the rows of weight words being a data matrix, and the rows of data words being elements of a convolution kernel; and pooling operations on rows of N weight words, using the first N-word rotater.

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