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US Patent 12061968 Neural network instruction set architecture

Patent 12061968 was granted and assigned to Google on August, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Google
Google
0
Current Assignee
Google
Google
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120619680
Patent Inventor Names
Ravi Narayanaswami0
Dong Hyuk Woo0
Olivier Temam0
Harshit Khaitan0
Date of Patent
August 13, 2024
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Patent Application Number
178452910
Date Filed
June 21, 2022
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Patent Citations
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US Patent 9710265 Neural network compute tile
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US Patent 9715642 Processing images using deep neural networks
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US Patent 9721203 Performing kernel striding in hardware
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US Patent 9818059 Exploiting input data sparsity in neural network compute units
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US Patent 9836691 Neural network instruction set architecture
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US Patent 10572409 Sparse matrix processing circuitry
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US Patent 9875104 Accessing data in multi-dimensional tensors
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US Patent 7426501 Nanotechnology neural network methods and systems
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Patent Primary Examiner
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Dave Misir
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CPC Code
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G06N 3/02
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G06N 3/0454
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G06N 20/00
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G06F 13/28
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G06N 3/067
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G06N 3/0635
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G06N 3/063
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G06N 3/06
0
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Patent abstract

A computer-implemented method that includes receiving, by a processing unit, an instruction that specifies data values for performing a tensor computation. In response to receiving the instruction, the method may include, performing, by the processing unit, the tensor computation by executing a loop nest comprising a plurality of loops, wherein a structure of the loop nest is defined based on one or more of the data values of the instruction. The tensor computation can be at least a portion of a computation of a neural network layer. The data values specified by the instruction may comprise a value that specifies a type of the neural network layer, and the structure of the loop nest can be defined at least in part by the type of the neural network layer.

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