- Patent Title: Deep learning job scheduling method and system and related device
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Application No.: US17038720Application Date: 2020-09-30
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Publication No.: US11954521B2Publication Date: 2024-04-09
- Inventor: Jian Lin , Jie Yang , Sibao Hong
- Applicant: Huawei Cloud Computing Technologies Co., Ltd.
- Applicant Address: CN Guizhou
- Assignee: HUAWEI CLOUD COMPUTING TECHNOLOGIES CO., LTD.
- Current Assignee: HUAWEI CLOUD COMPUTING TECHNOLOGIES CO., LTD.
- Current Assignee Address: CN Guizhou
- Agency: Conley Rose, P.C.
- Priority: CN 1810276336.9 2018.03.30 CN 1810414039.6 2018.05.02
- Main IPC: G06F9/48
- IPC: G06F9/48 ; G06F9/50 ; G06N3/08 ; G06N20/00

Abstract:
A deep learning job scheduling method includes obtaining a job request of a deep learning job, determining a target job description file template from a plurality of pre-stored job description file templates based on the job request, determining an identifier of a target job basic image from identifiers of a plurality of pre-stored job basic images based on the job request, generating a target job description file based on the target job description file template and the identifier of the target job basic image, sending the target job description file to a container scheduler, and selecting the target job basic image from the pre-stored job base images based on the target job description file, and creating at least one container for executing the job request.
Public/Granted literature
- US20210011762A1 Deep Learning Job Scheduling Method and System and Related Device Public/Granted day:2021-01-14
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