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:
Jan. 13, 2026

Filed:

Mar. 14, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Thomas Norrie, Mountain View, CA (US);

Olivier Temam, Antony, FR;

Andrew Everett Phelps, Middleton, WI (US);

Norman Paul Jouppi, Palo Alto, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 9/30 (2018.01); G06F 9/38 (2018.01); G06F 17/16 (2006.01); G06N 3/063 (2023.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06N 3/063 (2013.01); G06F 9/3001 (2013.01); G06F 9/30032 (2013.01); G06F 9/30036 (2013.01); G06F 9/30141 (2013.01); G06F 9/3885 (2013.01); G06F 9/3887 (2013.01); G06F 17/16 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01);
Abstract

Methods, systems, and apparatus including a special purpose hardware chip for training neural networks are described. The special-purpose hardware chip may include a scalar processor configured to control computational operation of the special-purpose hardware chip. The chip may also include a vector processor configured to have a 2-dimensional array of vector processing units which all execute the same instruction in a single instruction, multiple-data manner and communicate with each other through load and store instructions of the vector processor. The chip may additionally include a matrix multiply unit that is coupled to the vector processor configured to multiply at least one two-dimensional matrix with a second one-dimensional vector or two-dimensional matrix in order to obtain a multiplication result.


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