Generating recommendations based on performance metrics for scheduling jobs on distributed computing devices
US12056534B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2022 |
| Grant date | Aug 6, 2024 |
| Priority date | — |
| Expiry date | Dec 30, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/501
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scheduling operations represented as a computational graph on a distributed computing network. A method includes: receiving data representing operations to be executed in order to perform a job on a plurality of hardware accelerators of a plurality of different accelerator types; generating, for the job and from at least the data representing the operations, features that represent a predicted performance for the job on hardware accelerators of the plurality of different accelerator types; generating, from the features, a respective predicted performance metric for the job for each of the plurality of different accelerator types according to a performance objective function; and providing, to a scheduling system, one or more recommendations for scheduling the job on one or more recommended types of hardware accelerators.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.