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:
Mar. 01, 2022

Filed:

Jul. 29, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Vaibhav Saxena, New Delhi, IN;

Saurav Basu, New Delhi, IN;

Jayaram Kallapalayam Radhakrishnan, Yorktown Heights, NY (US);

Yogish Sabharwal, Gurgaon, IN;

Ashish Verma, Nanuet, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06F 9/38 (2018.01); G06F 9/48 (2006.01); G06F 9/54 (2006.01); G06Q 30/02 (2012.01); G06K 9/62 (2022.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06F 9/5027 (2013.01); G06F 9/3891 (2013.01); G06F 9/4881 (2013.01); G06F 9/50 (2013.01); G06F 9/5061 (2013.01); G06F 9/5077 (2013.01); G06F 9/544 (2013.01); G06K 9/6257 (2013.01); G06Q 30/0206 (2013.01); G06F 9/5011 (2013.01); G06F 9/5072 (2013.01); G06N 3/08 (2013.01);
Abstract

Methods, systems, and computer program products for determining optimal compute resources for distributed batch based optimization applications are provided herein. A method includes obtaining a size of an input dataset, a size of a model, and a set of batch sizes corresponding to a job to be processed using a distributed computing system; computing, based at least in part on the set of batch sizes, one or more node counts corresponding to a number of nodes that can be used for processing said job; estimating, for each given one of the node counts, an execution time to process the job based on an average computation time for a batch of said input dataset and an average communication time for said batch of said input dataset; and selecting, based at least in part on said estimating, at least one of said node counts for processing the job.


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