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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12639111 B1

PDFFull Text
Date of Patent:
May. 26, 2026

Filed:

Jul. 02, 2022

Estimation of power profiles for neural network models running on ai accelerators

Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Richard Richmond, Belfast, GB;

Eric Luk, Dublin, IE;

Lingdan Zeng, Chandler, AZ (US);

Lance Hacking, Spanish Fork, UT (US);

Alessandro Palla, Pisa, IT;

Mohamed Elmalaki, Gilbert, AZ (US);

Sara Almalih, Scottsdale, AZ (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:

Akona IP PC

Primary Examiner:

Ryan Bertram

Int. Cl.
CPC ...
G06F 9/48 (2006.01); G06N 3/10 (2006.01);
U.S. Cl.
CPC ...
G06F 9/4893 (2013.01); G06N 3/10 (2013.01);
Abstract

Technology for estimating neural network (NN) power profiles includes obtaining a plurality of workloads for a compiled NN model, the plurality of workloads determined for a hardware execution device, determining a hardware efficiency factor for the compiled NN model, and generating, based on the hardware efficiency factor, a power profile for the compiled NN model on one or more of a per-layer basis or a per-workload basis. The hardware efficiency factor can be determined on based on a hardware efficiency measurement and a hardware utilization measurement, and can be determined on a per-workload basis. A configuration file can be provided for generating the power profile, and an output visualization of the power profile can be generated. Further, feedback information can be generated to perform one or more of selecting a hardware device, optimizing a breakdown of workloads, optimizing a scheduling of tasks, or confirming a hardware device design.

Find Patent Forward Citations

Richmond, Richard. (2026). Estimation of power profiles for neural network models running on ai accelerators (U.S. Patent No. 12639111). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12639111

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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