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 12112175 B1

Date of Patent:

Oct. 08, 2024

Filed:

Feb. 02, 2022

Method and apparatus for performing machine learning operations in parallel on machine learning hardware

Applicant:

Marvell Asia Pte Ltd, Singapore, SG;

Inventors:

Ulf Hanebutte, Gig Harbor, WA (US);

Avinash Sodani, San Jose, CA (US);

Assignee:

Marvell Asia Pte Ltd, Singapore, SG;

Attorney:

Primary Examiner:

Philip Wang

Int. Cl.

CPC ...

G06F 8/41 (2018.01); G06F 9/30 (2018.01); G06F 9/38 (2018.01); G06F 15/78 (2006.01); G06F 17/16 (2006.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06F 15/80 (2006.01); G06N 5/04 (2023.01); G06N 20/20 (2019.01);

U.S. Cl.

CPC ...

G06F 9/3879 (2013.01); G06F 8/453 (2013.01); G06F 9/30174 (2013.01); G06F 9/3836 (2013.01); G06F 9/3851 (2013.01); G06F 9/3877 (2013.01); G06F 15/7807 (2013.01); G06F 17/16 (2013.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06F 9/3001 (2013.01); G06F 15/7864 (2013.01); G06F 15/8023 (2013.01); G06F 2212/602 (2013.01); G06N 5/04 (2013.01); G06N 20/20 (2019.01);

Abstract

A method includes receiving a set of data. The set of data is divided into a plurality of data portions. The method includes transmitting the plurality of data portions to a plurality of processing tiles, wherein each data portion of the plurality of data portions is associated with a processing tile of a plurality of tiles. Each processing tile of the plurality of tiles performs at least one local operation on its respective data portion to form a local result. The method includes exchanging local results between the plurality of processing tiles. Moreover, the method includes calculating a global value based on the local results. The method further includes performing at least one local operation by each processing tile of the plurality of tiles on its respective data portion based on the global value to form a computed result.

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