Invention Grant
- Patent Title: Generating recommended processor-memory configurations for machine learning applications
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Application No.: US17825189Application Date: 2022-05-26
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Publication No.: US11720823B2Publication Date: 2023-08-08
- Inventor: Edward R. Wetherbee , Kenny C. Gross , Guang C. Wang , Matthew T. Gerdes
- Applicant: ORACLE INTERNATIONAL CORPORATION
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Kraguljac Law Group, LLC
- Main IPC: G06F15/177
- IPC: G06F15/177 ; G06N20/00 ; H04L41/08 ; H04L41/16 ; H04L67/10 ; H04L41/22 ; H04L67/12 ; G06N20/10

Abstract:
Systems, methods, and other embodiments associated with autonomous cloud-node scoping for big-data machine learning use cases are described. In some example embodiments, an automated scoping tool, method, and system are presented that, for each of multiple combinations of parameter values, (i) set a combination of parameter values describing a usage scenario, (ii) execute a machine learning application according to the combination of parameter values on a target cloud environment, and (iii) measure the computational cost for the execution of the machine learning application. A recommendation regarding configuration of central processing unit(s), graphics processing unit(s), and memory for the target cloud environment to execute the machine learning application is generated based on the measured computational costs.
Public/Granted literature
- US20220284351A1 AUTONOMOUS CLOUD-NODE SCOPING FRAMEWORK FOR BIG-DATA MACHINE LEARNING USE CASES Public/Granted day:2022-09-08
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