Thermal mitigation using selective task modulation
US-2015346809-A1 · Dec 3, 2015 · US
US10095286B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10095286-B2 |
| Application number | US-201414503321-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 30, 2014 |
| Priority date | May 30, 2014 |
| Publication date | Oct 9, 2018 |
| Grant date | Oct 9, 2018 |
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A method and apparatus of a device that manages a thermal profile of a device by selectively throttling central processing unit operations of the device is described. The device manages a thermal profile of the device by adjusting a throttling a central processing unit execution of a historically high energy consuming task. In this embodiment, the device monitors thermal level of the thermal profile of the device, the device is executing a plurality of tasks that utilize a plurality of processing cores of the device. If the thermal level of the device exceeds a thermal threshold, the device identifies one of the plurality of tasks as a historically high energy consuming task, and throttles this historically high energy consuming task by setting a force idle execution time for the historically high energy consuming task. The device further executes the plurality of tasks.
Opening claim text (preview).
What is claimed is: 1. A non-transitory machine-readable medium having executable instructions to cause one or more processing units to perform a method to manage a thermal profile of a device, the method comprising: monitoring thermal level of the thermal profile of the device, wherein the device is executing a plurality of tasks that utilize a plurality of processing cores of the device; if the thermal level of the device exceeds a thermal threshold, identifying one of the plurality of tasks as a historically high energy consuming task, wherein the identifying is based on at least information about historical energy consumption from a database that tracks energy consumption from previously running tasks, and throttling the historically high energy consuming task by setting a force idle execution time for the historically high energy consuming task, wherein the force idle time is a percentage greater than zero and less than a hundred, wherein the force idle time percentage is set by the system according to the threshold exceeded; and executing the plurality of tasks. 2. The non-transitory machine-readable medium of claim 1 , wherein a selective forced idle is an amount of time during an execution window that a task is not being executed. 3. The non-transitory machine-readable medium of claim 2 , further comprising: putting a first processing core in a low power state during the selective forced idle. 4. The non-transitory machine-readable medium of claim 2 , further comprising: overlapping the selective forced idle execution time with another one of the plurality of task that has a corresponding selective forced idle execution time. 5. The non-transitory machine-readable medium of claim 1 , wherein a historically high energy consuming task is a task that consumes more energy than an average of the plurality of tasks. 6. The non-transitory machine-readable medium of claim 1 , further comprising: capturing energy consumption data for the plurality of tasks. 7. The non-transitory machine-readable medium of claim 6 , wherein the energy consumption data for one of the plurality of tasks is the amount of energy that is used by the device to execute that task. 8. The non-transitory machine-readable medium of claim 1 , wherein the executing the tasks comprises executing the plurality of tasks on a plurality of processing cores of the device. 9. The non-transitory machine-readable medium of claim 1 , wherein the thermal level is selected from the group consisting of device temperature and audible fan noise. 10. The non-transitory machine-readable medium of claim 1 , wherein the monitoring of the thermal level comprises: recording the device temperature. 11. The non-transitory machine-readable medium of claim 1 , wherein the historically high energy consuming task is a foreground task. 12. A method to manage a thermal profile of a device, the method comprising: monitoring thermal level of the thermal profile of the device, wherein the device is executing a plurality of tasks that utilize a plurality of processing cores of the device; if the thermal level of the device exceeds a thermal threshold, identifying one of the plurality of tasks as a historically high energy consuming task, wherein the identifying is based on at least information about historical energy consumption from a database that tracks energy consumption from previously running tasks, and throttling the historically high energy consuming task by setting a force idle execution time for the historically high energy consuming task, wherein the force idle time is a percentage greater than zero and less than a hundred, wherein the force idle time percentage is set by the system according to the threshold exceeded; and executing the plurality of tasks. 13. The method of claim 12 , wherein a selective forced idle is an amount of time during an execution window that a task is not being executed. 14. The method of claim 13 , further comprising: overlapping the selective forced idle execution time with another one of the plurality of task that has a corresponding selective forced idle execution time. 15. The method of claim 13 , wherein a historically high energy consuming task is a task that consumes more energy than an average of the plurality of tasks.
by switching off individual functional units in the computer system · CPC title
Monitoring of events, devices or parameters that trigger a change in power modality · CPC title
Cross-Sectional Technologies · mapped topic
by task scheduling · CPC title
Cross-Sectional Technologies · mapped topic
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