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US Patent 10614357 Dataflow triggered tasks for accelerated deep learning

Patent 10614357 was granted and assigned to Cerebras on April, 2020 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
Current Assignee
Cerebras
Cerebras
Date Filed
April 15, 2018
Date of Patent
April 7, 2020
Patent Applicant
Cerebras
Cerebras
Patent Application Number
16463091
Patent Citations Received
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US Patent 12112174 Streaming engine for machine learning architecture
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US Patent 11488004 Neuron smearing for accelerated deep learning
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US Patent 11966857 Architecture to support tanh and sigmoid operations for inference acceleration in machine learning
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US Patent 11995569 Architecture to support tanh and sigmoid operations for inference acceleration in machine learning
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US Patent 11475282 Microthreading for accelerated deep learning
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US Patent 10762418 Control wavelet for accelerated deep learning
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US Patent 10824433 Array-based inference engine for machine learning
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US Patent 10891136 Data transmission between memory and on chip memory of inference engine for machine learning via a single data gathering instruction
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US Patent 10896045 Architecture for dense operations in machine learning inference engine
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US Patent 10929760 Architecture for table-based mathematical operations for inference acceleration in machine learning
•••
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10614357
Patent Primary Examiner
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David R Vincent

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