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US Patent 11550971 Physics simulation on machine-learning accelerated hardware platforms

Patent 11550971 was granted and assigned to X (company) on January, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
X (company)
X (company)
Current Assignee
X (company)
X (company)
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11550971
Date of Patent
January 10, 2023
Patent Application Number
16251708
Date Filed
January 18, 2019
Patent Citations Received
0
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US Patent 12124383 Systems and methods for cache optimization
0
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US Patent 12093210 Compression techniques
0
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US Patent 12079155 Graphics processor operation scheduling for deterministic latency
0
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US Patent 12066975 Cache structure and utilization
0
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US Patent 12007935 Graphics processors and graphics processing units having dot product accumulate instruction for hybrid floating point format
0
Patent Primary Examiner
‌
Tan V. Mai
CPC Code
‌
G06N 3/04
‌
G06F 17/16
‌
G06F 7/544

At least one machine-accessible storage medium that provides instructions that, when executed by a machine, will cause the machine to perform operations. The operations comprise configuring a simulated environment to be representative of a physical device based, at least in part, on an initial description of the physical device that described structural parameters of the physical device. The operations further comprise performing a physics simulation with an artificial intelligence (“AI”) accelerator. The AI accelerator includes a matrix multiply unit for computing convolution operations via a plurality of multiply-accumulate units. The operations further comprise computing a field response in response of the physical device in response to an excitation source within the simulated environment when performing the physics simulation. The field response is computed, at least in part, with the convolution operations to perform spatial differencing.

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