An example of the limits of chip power consumption can be seen in speech processing software in mobile devices. Speech processing software such as Siri use quite a bit of the battery life of the mobile device because it must constantly process the speech around it and process that speech for keywords to activate the device. That is why it is imperative that the speech processing software on the chip is as efficient as possible so as to reduce power consumption of the chip. It is a very common occurrence where Siri has dramatically reduced the battery life of a mobile device.
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azeyara
The commands that are dictated to Siri are processed locally and on the cloud. If the command require the usage of things on the phone, then it just performs it. Otherwise the information is sent to the server for further processing.
power analysis of phones are complicated as the same code can have different effects across different devices. Apps that behave well individually can have problems when run in parallel. There are also non-technical challenges. For example market study suggested a large amount of power consumed by apps were used in powering 3rd party ads.
An example of the limits of chip power consumption can be seen in speech processing software in mobile devices. Speech processing software such as Siri use quite a bit of the battery life of the mobile device because it must constantly process the speech around it and process that speech for keywords to activate the device. That is why it is imperative that the speech processing software on the chip is as efficient as possible so as to reduce power consumption of the chip. It is a very common occurrence where Siri has dramatically reduced the battery life of a mobile device.
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The commands that are dictated to Siri are processed locally and on the cloud. If the command require the usage of things on the phone, then it just performs it. Otherwise the information is sent to the server for further processing.
source: http://www.zdnet.com/blog/btl/how-apples-siri-really-works/62461
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power analysis of phones are complicated as the same code can have different effects across different devices. Apps that behave well individually can have problems when run in parallel. There are also non-technical challenges. For example market study suggested a large amount of power consumed by apps were used in powering 3rd party ads.
source: http://sites.ieee.org/isgt/files/2013/03/Stavrou6C.pdf
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