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. 01, 2022

Filed:

Sep. 17, 2018
Applicant:

Emc Ip Holding Company Llc, Hopkinton, MA (US);

Inventors:

Wei Cui, Beijing, CN;

Sanping Li, Beijing, CN;

Kun Wang, Beijing, CN;

Assignee:

EMC IP Holding Company LLC, Hopkinton, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06E 1/00 (2006.01); G06F 9/50 (2006.01); G06N 3/08 (2006.01); G06T 1/20 (2006.01); G06K 9/62 (2022.01); G06F 17/18 (2006.01); H04L 67/1008 (2022.01);
U.S. Cl.
CPC ...
G06F 9/5077 (2013.01); G06F 9/505 (2013.01); G06F 17/18 (2013.01); G06K 9/6256 (2013.01); G06N 3/084 (2013.01); G06T 1/20 (2013.01); H04L 67/1008 (2013.01);
Abstract

Systems and methods are provided for implementing a self-adaptive batch dataset partitioning control process which is utilized in conjunction with a distributed deep learning model training process to optimize load balancing among a set of accelerator resources. An iterative batch size tuning process is configured to determine an optimal job partition ratio for partitioning mini-batch datasets into sub-batch datasets for processing by a set of hybrid accelerator resources, wherein the sub-batch datasets are partitioned into optimal batch sizes for processing by respective accelerator resources to minimize a time for completing the deep learning model training process.


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