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US Patent 11868873 Convolution operator system to perform concurrent convolution operations

Patent 11868873 was granted and assigned to HCL Technologies on January, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
0

Patent attributes

Patent Applicant
HCL Technologies
HCL Technologies
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Current Assignee
HCL Technologies
HCL Technologies
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118688730
Patent Inventor Names
Gunamani Rajagopal0
Sainarayanan Gopalakrishnan0
Prasanna Venkatesh Balasubramaniyan0
Date of Patent
January 9, 2024
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Patent Application Number
171365470
Date Filed
December 29, 2020
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Patent Citations
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US Patent 10586148 Neural network unit with re-shapeable memory
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US Patent 8442927 Dynamically configurable, multi-ported co-processor for convolutional neural networks
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US Patent 9978014 Reconfigurable processing unit
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US Patent 10643129 Apparatus and methods for training in convolutional neural networks
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Patent Primary Examiner
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Dhaval V Patel
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CPC Code
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G06T 1/20
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G06V 10/95
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G06N 3/04
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G06N 3/063
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Patent abstract

Disclosed is a convolution operator system comprising a Convolution Neural Network (CNN) reconfigurable engine including a plurality of Mini Parallel Rolling Engines (MPREs) for performing a convolution operation concurrently on an image. An input router receives image data. A controller allocates image data to computing blocks through a set of data flow control blocks. Each computing block produces a convolution output corresponding to each row of the image. The controller allocates a plurality of group having one or more computing blocks to generate a set of convolution output. Further, a pipeline adder aggregates the set of convolution output to produce an aggregated convolution output. An output router transmits either the convolution output or the aggregated convolution output for performing subsequent convolution operation to generate a convolution result for the image data.

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