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US Patent 10489478 Configurable convolution engine

Patent 10489478 was granted and assigned to Apple (company) on November, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Apple (company)
Apple (company)
Current Assignee
Apple (company)
Apple (company)
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10489478
Date of Patent
November 26, 2019
Patent Application Number
15823292
Date Filed
November 27, 2017
Patent Citations
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US Patent 10176551 Configurable convolution engine for interleaved channel data
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US Patent 10169295 Convolution operation device and method
Patent Citations Received
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US Patent 12118463 Weight value decoder of neural network inference circuit
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US Patent 11488281 Multichannel interpolator
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US Patent 11481612 Storage of input values across multiple cores of neural network inference circuit
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US Patent 11501138 Control circuits for neural network inference circuit
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US Patent 12086097 Vector computational unit
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US Patent 12093696 Bus for transporting output values of a neural network layer to cores specified by configuration data
0
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US Patent 11468145 Storage of input values within core of neural network inference circuit
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US Patent 11531727 Computation of neural network node with large input values
...
Patent Primary Examiner
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Joni Richer
Patent abstract

Embodiments of the present disclosure relate to a configurable convolution engine that receives configuration information to perform convolution or its variant operations on streaming input data of various formats. To process streaming input data, input data of multiple channels are received and stored in an input buffer circuit in an interleaved manner. Data values of the interleaved input data are retrieved and forwarded to multiplier circuits where multiplication with a corresponding filter element of a kernel is performed. Varying number of kernels with different sizes and sparsity can also be used for the convolution operations.

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