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US Patent 11003985 Convolutional neural network system and operation method thereof

Patent 11003985 was granted and assigned to Electronics and Telecommunications Research Institute on May, 2021 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Electronics and Telecommunications Research Institute
Electronics and Telecommunications Research Institute
1
Current Assignee
Electronics and Telecommunications Research Institute
Electronics and Telecommunications Research Institute
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
110039851
Patent Inventor Names
Jin Kyu Kim1
Mi Young Lee1
Seong Min Kim1
Byung Jo Kim1
Joo Hyun Lee1
Ju-Yeob Kim1
Date of Patent
May 11, 2021
1
Patent Application Number
158061111
Date Filed
November 7, 2017
1
Patent Citations Received
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US Patent 12130885 Emulating fine-grained sparsity in a systolic array
2
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US Patent 11531873 Convolution acceleration with embedded vector decompression
3
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US Patent 11562115 Configurable accelerator framework including a stream switch having a plurality of unidirectional stream links
4
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US Patent 11675943 Tool to create a reconfigurable interconnect framework
5
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US Patent 11803736 Fine-grained sparsity computations in systolic array
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US Patent 11836608 Convolution acceleration with embedded vector decompression
6
‌
US Patent 11880759 Vector quantization decoding hardware unit for real-time dynamic decompression for parameters of neural networks
7
‌
US Patent 11907681 Semiconductor device and method of controlling the semiconductor device
8
...
Patent Primary Examiner
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Andrew Caldwell
1
Patent abstract

Provided is a convolutional neural network system including a data selector configured to output an input value corresponding to a position of a sparse weight from among input values of input data on a basis of a sparse index indicating the position of a nonzero value in a sparse weight kernel, and a multiply-accumulate (MAC) computator configured to perform a convolution computation on the input value output from the data selector by using the sparse weight kernel.

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