Integrated circuit power systems with machine learning capabilities
OwnerAnthony Kellyinventor
Life of this patent
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Abstract
A power system that uses machine learning algorithms to solve various problems related to the delivery of power on integrated circuit systems is provided. The power system may process data on a platform near the target integrated circuit or off-platform in a cloud so that the machine learning algorithms can extract information from the data, process and analyze the data, and perform suitable action based on the analysis results. Applying machine learning to integrated circuit power delivery may involve the application of algorithms such as anomaly detection, load prediction, regression, and classification. Operated in this way, the power system may be provided with improved voltage/frequency scaling capabilities, security, and power efficiency.
Claims20
A system, comprising:
- an integrated circuit;
- a power stage configured to receive an input voltage and to generate a corresponding output voltage to power the integrated circuit;
- control circuitry configured to extract and to process data gathered from the power stage;
- and
- a power data processor configured to analyze the data and to direct the control circuitry to take suitable action based on the analysis of the data.
A method of operating a power analytics system, the method comprising:
- using a power conversion system to power an integrated circuit and to collect data while powering the integrated circuit;
- using the power conversion system to process the collected data;
- using a power data processor to analyze the processed data by applying machine learning to the processed data;
- and
- using the power data processor to direct the power conversion system to take suitable action based on the analysis of the data.
An apparatus, comprising:
- an integrated circuit;
- a power conversion system configured to output a power supply voltage to the integrated circuit and further configured to collect data;
- and
- analytics circuitry configured to use machine learning to analyze the collected data and to act upon the collected data to enable dynamic voltage scaling at the integrated circuit.
Dependencies are inferred from the claim text.