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US Patent 11520371 Compute-adaptive clock management for machine learning accelerators

Patent 11520371 was granted and assigned to Northwestern University on December, 2022 by the United States Patent and Trademark Office.

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TimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Northwestern University
Northwestern University
Current Assignee
Northwestern University
Northwestern University
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11520371
Date of Patent
December 6, 2022
Patent Application Number
17170187
Date Filed
February 8, 2021
Patent Citations
‌
US Patent 10915297 Hardware accelerator for systolic matrix multiplication
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US Patent 10784871 Clocking architecture for DVFS with low-frequency DLL locking
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US Patent 11321096 Hardware unit for performing matrix multiplication with clock gating
Patent Primary Examiner
‌
Aurel Prifti
CPC Code
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G06F 9/3814
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G06F 1/08
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G06F 15/8007
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G06F 9/5027
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G06N 3/063
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G06F 1/12
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G06F 9/3887

A system for clock management in an m columns×n rows array-based accelerators. Each row of the array may include a clock domain that clocks runtime clock cycles for the m processing elements. The clock domain includes a data detection and timing control circuit which is coupled to a common clock phase bus which provides a local clock source in multiple selectable phases, wherein the data detection and timing control circuit is configured to select a clock phase to clock a next clock cycle for a next concurrent data processing by the m processing elements. Each of m processing elements is coupled to access data from a first memory and a second memory and to generate respective outputs from each of the m processing elements to a corresponding m processing element of a same column in a subsequent neighboring row for the next processing in the next clock cycle.

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