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:
Nov. 09, 2021

Filed:

Oct. 31, 2019
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Larry Robert Dennison, Mendon, MA (US);

Benjamin Klenk, San Jose, CA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06N 3/08 (2006.01); G06F 7/483 (2006.01); G06F 9/38 (2018.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6257 (2013.01); G06F 7/483 (2013.01); G06F 9/3885 (2013.01); G06K 9/6265 (2013.01); G06K 9/6298 (2013.01); G06N 3/0481 (2013.01); G06N 3/08 (2013.01);
Abstract

A technique utilizing speculative execution and rollback for performing data parallel training of a neural network model is disclosed. Activations for a layer of the neural network model are normalized during a speculative normalization operation using estimated normalization parameters associated with a partial population of a set of training data allocated to a particular processor. Normalization parameters associated with the total population of the set of training data are generated by a distributed reduce operation in parallel with the speculative normalization operation. An optional rollback operation can revert the activations to a pre-normalization state if the estimated normalization parameters for the partial population are subsequently determined to be inaccurate compared to the normalization parameters for the population of the set of training data distributed across a plurality of processors.


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