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:
Dec. 27, 2022

Filed:

Mar. 23, 2018
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Edo Liberty, New York, NY (US);

Thomas Albert Faulhaber, Jr., Seattle, WA (US);

Zohar Karnin, Hoboken, NJ (US);

Gowda Dayananda Anjaneyapura Range, Redmond, WA (US);

Amir Sadoughi, New York, NY (US);

Swaminathan Sivasubramanian, Sammamish, WA (US);

Alexander Johannes Smola, Sunnyvale, CA (US);

Stefano Stefani, Issaquah, WA (US);

Craig Wiley, Redmond, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/00 (2006.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
G06F 9/5027 (2013.01);
Abstract

Techniques for intelligent compute resource selection and utilization for machine learning training jobs are described. At least a portion of a machine learning (ML) training job is executed a plurality of times using a plurality of different resource configurations, where each of the plurality of resource configurations includes at least a different type or amount of compute instances. A performance metric is measured for each of the plurality of the executions, and can be used along with a desired performance characteristic to generate a recommended resource configuration for the ML training job. The ML training job is executed using the recommended resource configuration.


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