Methods and apparatuses for dynamic power control

• US 8,578,189 B2
• Filed: 12/07/2012
• Issued: 11/05/2013
• Est. Priority Date: 08/25/2005
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Conroy, David G., Cox, Keith Alan, Culbert, Michael
• Primary Examiner(s): Abbaszadeh, Jaweed A
• Application Number:
  US13/708,070
• Publication Number:
  US 20130103967A1
• Time in Patent Office: 333 Days
• Field of Search: 713/300, 713/320, 713/321, 713/322, 713/323, 713/324, 713/340
• US Class Current: 713/300
• CPC Class Codes: G05D 23/19 characterised by the use of electric means G05D23/1393 takes precedence
• CPC Class Codes: G06F 1/26 Power supply means, e.g. regulation thereof for memories G11C
• CPC Class Codes: G06F 1/28 Supervision thereof, e.g. detecting power-supply failure by out of limits supervision
• CPC Class Codes: G06F 1/30 Means for acting in the event of power-supply failure or interruption, e.g. power-supply fluctuations for resetting only G06F1/24
• CPC Class Codes: G06F 1/3203 Power management, i.e. event-based initiation of a power-saving mode
• CPC Class Codes: G06F 1/324 by lowering clock frequency
• CPC Class Codes: G06F 1/3287 by switching off individual functional units in the computer system
• CPC Class Codes: G06F 1/3296 by lowering the supply or operating voltage
• CPC Class Codes: Y02B 70/10 Technologies improving the efficiency by using switched-mode power supplies [SMPS], i.e. efficient power electronics conversion e.g. power factor correction or reduction of losses in power supplies or efficient standby modes
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

Methods and apparatuses for dynamically budgeting power usage in a data processing system. In one aspect, a data processing system, includes: one or more first components capable of being dynamically throttled to a plurality of different performance level settings; one or more second components; and one or more power usage sensors. The one or more power usage sensors are to determine information on power usage during a first time period of operation of the data processing system. The one or more first components and the one or more second components may include a computing element to determine one of the performance level settings of the one or more first components of the data processing system for a second time period subsequent to the first time period using the information on the power usage during the first time period.

Claims

1. A data processing system, comprising:

one or more first components capable of being dynamically throttled to a plurality of different performance level settings;

one or more sensors to determine a power consumption history of at least a portion of the data processing system; and

a power supply coupled to supply a power to the portion of the data processing system including at least the one or more first components, the power supply being limited to a continuous state power capacity;

wherein a worst case power consumption of the data processing system from the power supply exceeds the continuous state power capacity, while an average of power consumption of the data processing system over time is configured to be under the continuous state power capacity, wherein the average of power consumption of the data processing system over time is determined based on the power consumption history for a first time interval and a hypothetical worst-case power consumed by the one or more first components for a second time interval subsequent to the first time interval.

2. The data processing system of claim 1, wherein an average of power consumption from the power supply approaches the continuous state power capacity when the data processing system runs a continuous worst case workload.

3. The data processing system of claim 2, wherein the data processing system comprises a control element which dynamically throttles the one or more first components according to the power consumption history to limit the average of power consumption to be under the continuous state power capacity.

4. The data processing system of claim 3, wherein the one or more first components comprise the control element which comprises a microprocessor.

5. The data processing system of claim 1, wherein at least some of the one or more sensors are implemented using software.

6. A data processing system, comprising:

one or more first components capable of being dynamically throttled to a plurality of different performance level settings; and

one or more sensors to determine a power consumption history of at least a portion of the data processing system, the portion including the one or more first components;

wherein a power consumption state of the first components is set, for a limited period of continuous time, to exceed a continuous state power capacity of a power supply, while an average of power consumption of the data processing system over time is configured to be under the continuous state power capacity of the power supply, wherein the average of power consumption of the data processing system over time is determined based on the power consumption history for a first time interval and a hypothetical worst-case power consumed by the one or more first components for a second time interval subsequent to the first time interval.

7. The data processing system of claim 6, wherein the power consumption state of the first components is set according to the power consumption history.

8. The data processing system of claim 7, wherein the power consumption state of the first components is adjusted over time to keep an average of power consumption from the power supply under the continuous state power capacity.

9. The data processing system of claim 6, wherein at least some of the one or more sensors are implemented using software.

10. A data processing system, comprising:

a plurality of non-throttled subsystems, each capable of consuming a set of different power levels; and

a sensor coupled to each of the plurality of non-throttled subsystems to derive a combined measurement of power consumption of the plurality of non-throttled subsystems, wherein the combined measurement of power consumption of the plurality of non-throttled subsystems is used to maintain an average power consumption of the data processing system over time under a limit, wherein the average of power consumption of the data processing system over time is determined based at least on a history of the power consumption of the data processing system for a first time interval, and a hypothetical worst-case power consumed by the plurality of non-throttled subsystems for a second time interval subsequent to the first time interval.

11. The data processing system of claim 10, wherein each of the non-throttled subsystems cannot be regulated for power consumption by a component which is not part of each of the non-throttled subsystems.

12. The data processing system of claim 10, further comprising:

one or more throttled subsystems, each capable of being dynamically throttled to a plurality of different performance level settings;

wherein the combined measurement is used to dynamically throttle the one or more throttled subsystems.

13. The data processing system of claim 12, further comprising:

a sensor coupled to each of one or more throttled subsystems to derive a combined measurement of power consumption of the one or more throttled subsystems;

wherein the combined measurement of power consumption of the plurality of non-throttled subsystems and the combined measurement of power consumption of the one or more throttled subsystems are used to dynamically throttle the one or more throttled subsystems and keep power consumption under the limit.

14. The data processing system of claim 10, wherein the sensor is implemented using software.