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Generating a power model for an electronic device

a technology for electronic devices and power models, applied in adaptive control, process and machine control, instruments, etc., can solve the problems of affecting the the overall power consumption of electronic devices, and the amount of power consumed, so as to increase the accuracy and precision of power models, and increase the accuracy and precision of predictions.

Inactive Publication Date: 2013-09-19
QUALCOMM INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The approach increases the accuracy and precision of power consumption predictions by focusing on the most influential parameters, allowing for more effective power management and prolonging battery life in portable devices.

Problems solved by technology

Each of these portable personal computing devices may include a variety of different electronic devices all of which consume some amount of power.
In some electronic devices, many different operating parameters may affect power consumption of the electronic device to some extent.
However, some operating parameters may influence overall power consumption of the electronic device more than others.

Method used

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  • Generating a power model for an electronic device
  • Generating a power model for an electronic device
  • Generating a power model for an electronic device

Examples

Experimental program
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Effect test

first embodiment

[0025]Referring to FIG. 1, a system that generates a power model 114 for an electronic device 118 is depicted. The system of FIG. 1 includes a test machine 100 coupled to the electronic device 118. The electronic device 118 includes a power management circuit 120. The test machine 100 includes a processor 102 coupled to a memory device 104. The test machine 100 of FIG. 1 generates the power model 114 for the electronic device 118 at least in part by reducing training data 108 to identify a subset 116 of operating parameters of the electronic device 118 that contribute most to power consumption of the electronic device 118. That is, in a particular embodiment the test machine 100 reduces the training data 108 by removing entire factors considered in generating a power model of the electronic device rather than by removing observations of such factors. Operating parameters of an electronic device that “contribute most” to power consumption of the electronic device are operating parame...

second embodiment

[0032]Referring to FIG. 2, a system that generates a power model 114 for an electronic device 118 is depicted. The system of FIG. 2 includes a test machine 100 coupled to the electronic device 118. The electronic device 118 includes a power management circuit 120 that manages power consumption of the electronic device 118 according to the power model 114. The test machine 100 includes a processor 102 coupled to a memory device 104. The test machine 100 of FIG. 2 generates the power model 114 for the electronic device 118 at least in part by reducing training data 108 to identify a subset 116 of operating parameters of the electronic device 118 that contribute most to power consumption of the electronic device 118.

[0033]As illustrated, the processor 102 of the test machine 100 is configured to execute computer program instructions stored in the memory device 104 or stored in another computer-readable medium. As illustrated, the processor 102 executes a power model generator applicati...

third embodiment

[0041]Referring to FIG. 3, a system that generates a power model 114 for an electronic device 118 is depicted. The system of FIG. 3 includes a test machine 100 coupled to the electronic device 118. The electronic device 118 includes a power management circuit 120 that manages power consumption of the electronic device 118 according to the power model 114, The test machine 100 includes a processor 102 coupled to a memory device 104. The test machine 100 of FIG. 3 generates the power model 114 for the electronic device 118 at least in part by reducing training data 108 to identify a subset 116 of operating parameters of the electronic device 118 that contribute most to power consumption of the electronic device 118.

[0042]As illustrated, the test machine 100 of FIG. 3 includes a factor analysis module 308. The factor analysis module 308 may be a module of computer program instructions that when executed by the processor 102 performs a factor analysis of the training data 108 to identif...

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Abstract

A method of fabricating a semiconductor device generates a power model for an electronic device. The method includes receiving a data file including design information corresponding to the semiconductor device. The method further includes fabricating the semiconductor device according to the design information, where the semiconductor device includes a processor configured to identify a subset of operating parameters of the electronic device that contribute most to power consumption of the electronic device by reducing training data. The processor is further configured to generate a power model for the electronic device based on the reduced training data. The power model is operable to predict, responsive to a set of operating parameter values corresponding to operation of the electronic device, a power consumption value corresponding to the electronic device.

Description

I. CLAIM OF PRIORITY[0001]The present application claims priority from and is a divisional of U.S. patent application Ser. No. 12 / 613,055, filed Nov. 5, 2009, entitled “GENERATING A POWER MODEL FOR AN ELECTRONIC DEVICE,” the content of which is incorporated by reference herein in its entirety.II. FIELD[0002]The present disclosure is generally related to generating a power model for an electronic device.III. DESCRIPTION OF RELATED ART[0003]Advances in technology have resulted in smaller and more powerful personal computing devices. For example, there currently exist a variety of portable personal computing devices, including wireless computing devices, such as portable wireless telephones, personal digital assistants (PDAs), and paging devices that are small, lightweight, and easily carried by users. More specifically, portable wireless telephones, such as cellular telephones and Internet Protocol (IP) telephones, can communicate voice and data packets over wireless networks. Further...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06F1/28G06N20/00
CPCG05B13/026G06F1/28G06F17/5009G06N99/005G06N20/00G06F30/20
Inventor LUPETINI, MARIA
Owner QUALCOMM INC