Predict computing platform memory power utilization
First Claim
1. A method comprising:
- implementing at least one statistical prediction model to predict memory power utilization and reduce power consumption for a computing platform, implementation to include;
determining a configuration parameter for the computing platform by at least identifying resources present on the computing platform;
identifying an operating parameter associated with at least one of the resources present on the computing platform;
monitoring the operating parameter of the computing platform during runtime of the computing platform by inspecting at least one of a memory table or a memory register that is updated by the resource of the computing platform during runtime of the computing platform; and
predicting memory power utilization for the computing platform during the runtime of the computing platform based on the determined configuration parameter and the monitored operating parameter; and
transitioning a current power state of at least one memory module resident on the computing platform to one of a plurality of power states, wherein transitioning the current power state is based at least in part on a statistical prediction of memory power utilization determined from the configuration parameter and the monitored operating parameter.
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Abstract
A method is to include implementing at least one statistical prediction model to predict memory power utilization and reduce power consumption for a computing platform. The implementation includes determining a configuration parameter for the computing platform, monitoring an operating parameter for the computing platform and predicting memory power utilization for the computing platform based on the determined configuration parameter and the monitored operating parameter. The method is to also include transitioning at least one memory module resident on the computing platform to one of a plurality of power states based at least in part on memory power utilization predicted via the implementation of the at least one statistical prediction model.
36 Citations
15 Claims
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1. A method comprising:
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implementing at least one statistical prediction model to predict memory power utilization and reduce power consumption for a computing platform, implementation to include; determining a configuration parameter for the computing platform by at least identifying resources present on the computing platform; identifying an operating parameter associated with at least one of the resources present on the computing platform; monitoring the operating parameter of the computing platform during runtime of the computing platform by inspecting at least one of a memory table or a memory register that is updated by the resource of the computing platform during runtime of the computing platform; and predicting memory power utilization for the computing platform during the runtime of the computing platform based on the determined configuration parameter and the monitored operating parameter; and transitioning a current power state of at least one memory module resident on the computing platform to one of a plurality of power states, wherein transitioning the current power state is based at least in part on a statistical prediction of memory power utilization determined from the configuration parameter and the monitored operating parameter. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A machine-accessible storage medium comprising content, which, when executed by a machine resident on a computing platform causes the machine to:
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implement at least one statistical prediction model to predict memory power utilization and reduce power consumption for a computing platform, implementation to include; determining a configuration parameter for the computing platform by at least identifying resources present on the computing platform; identifying an operating parameter associated with at least one of the resources present on the computing platform; monitoring the operating parameter of the computing platform during runtime of the computing platform by inspecting at least one of a memory table or a memory register that is updated by the resource of the computing platform during runtime of the computing platform; and predicting memory power utilization for the computing platform based on the determined configuration parameter and the monitored operating parameter during the runtime of the computing platform; and transition a current power state of at least one memory module resident on the computing platform to one of a plurality of power states, wherein transitioning the current power state is based at least in part on a statistical prediction of memory power utilization determined from the configuration parameter and the monitored operating parameter. - View Dependent Claims (13, 14, 15)
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Specification