Learning-based thermal estimation in multicore architecture
US11334398B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2018 |
| Grant date | May 17, 2022 |
| Priority date | — |
| Expiry date | Jan 4, 2039 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An application to run on a hardware processor comprising a plurality of cores may be received. Hardware resource utilization data associated with the application may be obtained. A trained neural network with the hardware resource utilization data associated with the application is run, the trained neural network predicting core temperature associated with running the application on a core of the hardware processor. Based on the core temperature predicted by the trained neural network, the plurality of cores may be controlled to run selective tasks associated with the application.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.