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US Patent 10936569 Efficient and scalable computations with sparse tensors

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
Date Filed
May 20, 2013
Date of Patent
March 2, 2021
Patent Application Number
13898159
Patent Citations Received
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US Patent 11544545 Structured activation based sparsity in an artificial neural network
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US Patent 11551028 Structured weight based sparsity in an artificial neural network
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US Patent 11573945 Efficient and scalable storage of sparse tensors
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US Patent 11461614 Data driven quantization optimization of weights and input data in an artificial neural network
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US Patent 11461615 System and method of memory access of multi-dimensional data
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US Patent 11514291 Neural network processing element incorporating compute and local memory elements
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US Patent 11537687 Spatial locality transform of matrices
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US Patent 11315007 Neural network scheduling mechanism
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US Patent 11354563 Configurable and programmable sliding window based memory access in a neural network processor
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US Patent 11868804 Processor instruction dispatch configuration
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•••
Patent Inventor Names
Benoit J. Meister
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Muthu Manikandan Baskaran
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Nicolas T. Vasilache
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Richard A. Lethin
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10936569
Patent Primary Examiner
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Jean M Corrielus

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