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US Patent 11676239 Sparse optimizations for a matrix accelerator architecture

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Intel
Intel
0
Current Assignee
Intel
Intel
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116762390
Date of Patent
June 13, 2023
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Patent Application Number
173036540
Date Filed
June 3, 2021
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Patent Citations
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US Patent 10891538 Sparse convolutional neural network accelerator
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US Patent 10860922 Sparse convolutional neural network accelerator
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US Patent 7327289 Data-modifying run length encoder to avoid data expansion
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US Patent 7873812 Method and system for efficient matrix multiplication in a SIMD processor architecture
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US Patent 9804666 Warp clustering
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US Patent 9811468 Set associative cache memory with heterogeneous replacement policy
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US Patent 10528864 Sparse convolutional neural network accelerator
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Patent Primary Examiner
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David F Dunphy
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CPC Code
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G06F 9/5027
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G06F 12/0806
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G06F 15/8046
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G06T 1/20
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G06N 3/0481
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G06N 3/08
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G06N 3/084
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G06F 17/16
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Embodiments described herein include, software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. Embodiment described herein provided techniques to skip computational operations for zero filled matrices and sub-matrices. Embodiments additionally provide techniques to maintain data compression through to a processing unit. Embodiments additionally provide an architecture for a sparse aware logic unit.

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