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US Patent 11803736 Fine-grained sparsity computations in systolic array

Patent 11803736 was granted and assigned to Amazon on October, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Amazon
Amazon
Current Assignee
Amazon
Amazon
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11803736
Patent Inventor Names
Ron Diamant
Vignesh Vivekraja
Thiam Khean Hah
Randy Renfu Huang
Paul Gilbert Meyer
Date of Patent
October 31, 2023
Patent Application Number
16917015
Date Filed
June 30, 2020
Patent Citations
‌
US Patent 11003985 Convolutional neural network system and operation method thereof
‌
US Patent 11126690 Machine learning architecture support for block sparsity
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US Patent 11194549 Matrix multiplication system, apparatus and method
‌
US Patent 11379556 Apparatus and method for matrix operations
Patent Citations Received
‌
US Patent 12131507 Low rank matrix compression
0
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US Patent 12130885 Emulating fine-grained sparsity in a systolic array
0
Patent Primary Examiner
‌
Matthew D Sandifer
CPC Code
‌
G06F 2207/4824
‌
G06F 17/16
‌
G06F 9/3893
‌
G06N 3/063
Patent abstract

A systolic array can implement an architecture tailored to perform matrix multiplications on constrained fine-grained sparse weight matrices. Each processing element in the systolic array may include a weight register configured to store a weight value, and a multiplexor configured to select a feature map (FMAP) input element from multiple FMAP input data buses based on metadata associated with the weight value. Each processing element may also include a multiplier configured to multiply the selected feature map input element with the weight value to generate a multiplication result, and an adder configured to add the multiplication result to a partial sum input to generate a partial sum output.

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