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.

Date of Patent:
Feb. 17, 2026

Filed:

Dec. 24, 2019
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Debabrata Mohapatra, Santa Clara, CA (US);

Arnab Raha, Santa Clara, CA (US);

Gautham Chinya, Sunnyvale, CA (US);

Huichu Liu, Santa Clara, CA (US);

Cormac Brick, San Francisco, CA (US);

Lance Hacking, Spanish Fork, UT (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2023.01); G06F 9/30 (2018.01); G06F 15/80 (2006.01); G06F 17/16 (2006.01); G06N 3/06 (2006.01);
U.S. Cl.
CPC ...
G06N 3/04 (2013.01); G06F 9/30036 (2013.01); G06F 9/30038 (2023.08); G06F 15/80 (2013.01); G06F 17/16 (2013.01); G06N 3/06 (2013.01);
Abstract

Example apparatus disclosed herein include an array of processor elements, the array including rows each having a first number of processor elements and columns each having a second number of processor elements. Disclosed example apparatus also include configuration registers to store descriptors to configure the array to implement a layer of a convolutional neural network based on a dataflow schedule corresponding to one of multiple tensor processing templates, ones of the processor elements to be configured based on the descriptors to implement the one of the tensor processing templates to operate on input activation data and filter data associated with the layer of the convolutional neural network to produce output activation data associated with the layer of the convolutional neural network. Disclosed example apparatus further include memory to store the input activation data, the filter data and the output activation data associated with the layer of the convolutional neural network.


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