Deep learning job scheduling method and system and related device
US11954521B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 30, 2020 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | Dec 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.