Power state control of a mobile device

Patent metadata

Field	Value
Publication number	US-10732694-B2
Application number	US-201715713254-A
Country	US
Kind code	B2
Filing date	Sep 22, 2017
Priority date	Sep 22, 2017
Publication date	Aug 4, 2020
Grant date	Aug 4, 2020

Abstract

A method of operating a shared resource in a mobile device includes extracting a set of features from a plurality of subsystems of the mobile device. The set of features may be extracted from each subsystem of the plurality of subsystems requesting services from one or more shared resources of the mobile device. One or more parameter of the shared resource(s) may be determined based on the extracted set of features from the plurality of subsystems. The shared resource(s) may be operated based on the determined parameter(s).

First claim

What is claimed is:

1. A method of operating a shared resource in a mobile device, comprising:
extracting a set of features from a plurality of subsystems of the mobile device, each subsystem of the plurality of subsystems requesting services from at least one shared resource of the mobile device, wherein the plurality of subsystems and the at least one shared resource are hardware components;
processing a workload from the plurality of subsystems, wherein the workload comprises a desired level of performance for a specified task;
determining at least one parameter of the at least one shared resource based on the extracted set of features and the workload from the plurality of subsystems;
operating the at least one shared resource based on the at least one parameter; and
wherein the at least one shared resource comprises a processor and the extracted set of features includes at least one of a current processor frequency, a number of instructions to be executed by the processor, a processor utilization, a measured bandwidth, or a ratio thereof.

2. The method of claim 1 , wherein the at least one parameter is learned based at least in part on a performance metric associated with the workload and power consumption of the mobile device.

3. The method of claim 1 , wherein the at least one parameter is learned based at least in part on a cumulative reward, the cumulative reward comprising a combination of measured performance associated with the workload and power consumption for processing a sequence of predetermined workloads.

4. An apparatus of operating a shared resource in a mobile device, comprising:
a memory; and
at least one processor coupled to the memory, the at least one processor being configured to:
extract a set of features from a plurality of subsystems of the mobile device, each subsystem of the plurality of subsystems requesting services from at least one shared resource of the mobile device, wherein the plurality of subsystems and the at least one shared resource are hardware components;
process a workload from the plurality of subsystems, wherein the workload comprises a desired level of performance for a specified task;
determine at least one parameter of the at least one shared resource based on the extracted set of features and the workload from the plurality of subsystems; and
operate the at least one shared resource based on the at least one parameter; and
wherein the at least one shared resource comprises a processor and the extracted set of features includes at least one of a current processor frequency, a number of instructions to be executed by the processor, a processor utilization, a measured bandwidth, or a ratio thereof.

5. The apparatus of claim 4 , wherein the at least one processor is further configured to learn the at least one parameter based at least in part on a performance metric associated with the workload and power consumption of the mobile device.

6. The apparatus of claim 4 , wherein the at least one processor is further configured to learn the at least one parameter based at least in part on a cumulative reward, the cumulative reward comprising a combination of measured performance associated with the workload and power consumption for processing a sequence of predetermined workloads.

7. An apparatus for operating a shared resource in a mobile device, comprising:
means for extracting a set of features from a plurality of subsystems of the mobile device, each subsystem of the plurality of subsystems requesting services from at least one shared resource of the mobile device, wherein the plurality of subsystems and the at least one shared resource are hardware components;
means for processing a workload from the plurality of subsystems, wherein the workload comprises a desired level of performance for a specified task;
means for determining at least one parameter of the at least one shared resource based on the extracted set of features and the workload from the plurality of subsystems;
means for operating the at least one shared resource based on the at least one parameter; and
wherein the at least one shared resource comprises a processor and the extracted set of features includes at least one of a current processor frequency, a number of instructions to be executed by the processor, a processor utilization, a measured bandwidth, or a ratio thereof.

8. The apparatus of claim 7 , further comprising means for learning the at least one parameter based at least in part on a performance metric associated with the workload and power consumption of the mobile device.

9. The apparatus of claim 7 , further comprising means for learning the at least one parameter based at least in part on a cumulative reward, the cumulative reward comprising a combination of measured performance associated with the workload and power consumption for processing a sequence of predetermined workloads.

10. A non-transitory, computer-readable medium storing computer executable code for operating a shared resource in a mobile device, comprising code to:
extract a set of features from a plurality of subsystems of the mobile device, each subsystem of the plurality of subsystems requesting services from at least one shared resource of the mobile device, wherein the plurality of subsystems and the at least one shared resource are hardware components;
process a workload from the plurality of subsystems, wherein the workload comprises a desired level of performance for a specified task;
determine at least one parameter of the at least one shared resource based on the extracted set of features and the workload from the plurality of subsystems; and
operate the at least one shared resource based on the at least one parameter; and
wherein the at least one shared resource comprises a processor and the extracted set of features includes at least one of a current processor frequency, a number of instructions to be executed by the processor, a processor utilization, a measured bandwidth, or a ratio thereof.

11. The non-transitory, computer-readable medium of claim 10 , further comprising code learn the at least one parameter based at least in part on a performance metric associated with the workload and power consumption of the mobile device.

12. The non-transitory, computer-readable medium of claim 10 , further comprising code to learn the at least one parameter based at least in part on a cumulative reward, the cumulative reward comprising a combination of measured performance associated with the workload and power consumption for processing a sequence of predetermined workloads.

Assignees

• Qualcomm Inc

Inventors

• Sadasivam Shankar
• Lee Jin Won

Classifications

• G06F1/3212 Primary

  Monitoring battery levels, e.g. power saving mode being initiated when battery voltage goes below a certain level · CPC title

• G06F9/5094 Primary

  where the allocation takes into account power or heat criteria (power management in computers in general G06F1/3203; thermal management in computers in general G06F1/206) · CPC title

• G06F1/324

  by lowering clock frequency · CPC title

• Y02D10/00

  Energy efficient computing, e.g. low power processors, power management or thermal management · CPC title

• G06F1/3287

  by switching off individual functional units in the computer system · CPC title