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US Patent 11842423 Dot product operations on sparse matrix elements

Patent 11842423 was granted and assigned to Intel on December, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Intel
Intel
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Current Assignee
Intel
Intel
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118424230
Patent Inventor Names
Vasanth Ranganathan0
Subramaniam Maiyuran0
Ashutosh Garg0
Abhishek Appu0
Mike Macpherson0
Fangwen Fu0
Varghese George0
Jiasheng Chen0
...
Date of Patent
December 12, 2023
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Patent Application Number
171229050
Date Filed
December 15, 2020
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Patent Citations
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US Patent 7327289 Data-modifying run length encoder to avoid data expansion
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US Patent 7346741 Memory latency of processors with configurable stride based pre-fetching technique
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US Patent 7373369 Advanced execution of extended floating-point add operations in a narrow dataflow
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US Patent 7483031 Method for synchronizing graphics processing units
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US Patent 7616206 Efficient multi-chip GPU
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US Patent 7620793 Mapping memory partitions to virtual memory pages
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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 6856320 Demand-based memory system for graphics applications
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...
Patent Primary Examiner
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Shawn Doman
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CPC Code
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G06N 3/08
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G06N 3/0481
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G06F 17/16
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G06F 15/8046
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G06F 7/5443
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G06F 9/5027
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Patent abstract

Embodiments described herein include software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. One embodiment provides for data aware sparsity via compressed bitstreams. One embodiment provides for block sparse dot product instructions. One embodiment provides for a depth-wise adapter for a systolic array.

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