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:
Feb. 21, 2023

Filed:

Feb. 28, 2020
Applicant:

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

Inventors:

Saurav Basu, Bangalore, IN;

Vaibhav Saxena, Vasant Kunj, IN;

Yogish Sabharwal, Gurgaon, IN;

Ashish Verma, Nanuet, NY (US);

Jayaram Kallapalayam Radhakrishnan, Pleasantville, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/46 (2006.01); G06F 9/50 (2006.01); G06F 9/48 (2006.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 9/5055 (2013.01); G06F 9/4881 (2013.01); G06N 3/08 (2013.01);
Abstract

One embodiment provides a method, including: receiving at least one deep learning job for scheduling and running on a distributed system comprising a plurality of nodes; receiving a batch size range indicating a minimum batch size and a maximum batch size that can be utilized for running the at least one deep learning job; determining a plurality of runtime estimations for running the at least one deep learning job; creating a list of optimal combinations of (i) batch sizes and (ii) numbers of the plurality of nodes for running both (a) the at least one deep learning job and (b) current deep learning jobs; and scheduling the at least one deep-learning job at the distributed system, responsive to identifying, by utilizing the list, that the distributed system has necessary processing resources for running both (iii) the at least one deep learning job and (iv) the current deep learning jobs.


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