Abstract: A temperature of a component within the portable computing device (PCD) may be monitored along with a parameter associated with the temperature. The parameter associated with temperature may be an operating frequency, transmission power, or a data flow rate. It is determined if the temperature has exceeded a threshold value. If the temperature has exceeded the threshold value, then the temperature is compared with a temperature set point and a first error value is then calculated based on the comparison. Next, a first optimum value of the parameter is determined based on the first error value. If the temperature is below or equal to the threshold value, then a present value of the parameter is compared with a desired threshold for the parameter and a second error value is calculated based on the comparison. A second optimum value of the parameter may be determined based on the second error value.

Abstract: Various embodiments of methods and systems for energy efficiency aware thermal management in a portable computing device that contains a heterogeneous, multi-processor system on a chip (“SoC”) are disclosed. Because individual processing components in a heterogeneous, multi-processor SoC may exhibit different processing efficiencies at a given temperature, energy efficiency aware thermal management techniques that compare performance data of the individual processing components at their measured operating temperatures can be leveraged to optimize quality of service (“QoS”) by adjusting the power supplies to, reallocating workloads away from, or transitioning the power mode of, the least energy efficient processing components. In these ways, embodiments of the solution optimize the average amount of power consumed across the SoC to process a MIPS of workload.

Abstract: Various embodiments of methods and systems for energy efficiency aware thermal management in a portable computing device that contains a heterogeneous, multi-processor system on a chip (“SoC”) are disclosed. Because individual processing components in a heterogeneous, multi-processor SoC may exhibit different processing efficiencies at a given temperature, energy efficiency aware thermal management techniques that compare performance data of the individual processing components at their measured operating temperatures can be leveraged to optimize quality of service (“QoS”) by adjusting the power supplies to, reallocating workloads away from, or transitioning the power mode of, the least energy efficient processing components. In these ways, embodiments of the solution optimize the average amount of power consumed across the SoC to process a MIPS of workload.

Abstract: A dynamic scheduler is provided that schedules tasks for a plurality of cores based upon current operating characteristics for the cores. The current operating characteristics include a predicted leakage current for each core based upon an analytical model.

Abstract: Various embodiments of methods and systems for energy efficiency aware thermal management in a portable computing device that contains a heterogeneous, multi-processor system on a chip (“SoC”) are disclosed. Because individual processing components in a heterogeneous, multi-processor SoC may exhibit different processing efficiencies at a given temperature, energy efficiency aware thermal management techniques that compare performance data of the individual processing components at their measured operating temperatures can be leveraged to optimize quality of service (“QoS”) by adjusting the power supplies to, reallocating workloads away from, or transitioning the power mode of, the least energy efficient processing components. In these ways, embodiments of the solution optimize the average amount of power consumed across the SoC to process a MIPS of workload.

Abstract: Aspects include computing devices, systems, and methods for selecting preferred processor core combinations for a state of a computing device. In an aspect, a state of a computing device containing the multi-core processor may be determined. A number of current leakage ratios may be determined by comparing current leakages of the processor cores to current leakages of the other processor cores. The ratios may be compared to boundaries for the state of the computing device in respective inequalities. A processor core associated with a number of boundaries may be selected in response to determining that the respective inequalities are true. The boundaries may be associated with a set of processor cores deemed preferred for an associated state of the computing device. The processor core present in the set of processor cores for each boundary of a true inequality may be the selected processor core.

Abstract: The various aspects provide for a device and methods for intelligent multicore control of a plurality of processor cores of a multicore integrated circuit. The aspects may identify and activate an optimal set of processor cores to achieve the lowest level power consumption for a given workload or the highest performance for a given power budget. The optimal set of processor cores may be the number of active processor cores or a designation of specific active processor cores. When a temperature reading of the processor cores is below a threshold, a set of processor cores may be selected to provide the lowest power consumption for the given workload. When the temperature reading of the processor cores is above the threshold, a set processor cores may be selected to provide the best performance for a given power budget.

Abstract: Aspects include computing devices, systems, and methods for selecting preferred processor core combinations for a state of a computing device. In an aspect, a state of a computing device containing the multi-core processor may be determined. A number of current leakage ratios may be determined by comparing current leakages of the processor cores to current leakages of the other processor cores. The ratios may be compared to boundaries for the state of the computing device in respective inequalities. A processor core associated with a number of boundaries may be selected in response to determining that the respective inequalities are true. The boundaries may be associated with a set of processor cores deemed preferred for an associated state of the computing device. The processor core present in the set of processor cores for each boundary of a true inequality may be the selected processor core.

Abstract: Various embodiments of methods and systems for energy efficiency aware thermal management in a portable computing device that contains a heterogeneous, multi-processor system on a chip (“SoC”) are disclosed. Because individual processing components in a heterogeneous, multi-processor SoC may exhibit different processing efficiencies at a given temperature, energy efficiency aware thermal management techniques that compare performance data of the individual processing components at their measured operating temperatures can be leveraged to optimize quality of service (“QoS”) by adjusting the power supplies to, reallocating workloads away from, or transitioning the power mode of, the least energy efficient processing components. In these ways, embodiments of the solution optimize the average amount of power consumed across the SoC to process a MIPS of workload.

Abstract: Various embodiments of methods and systems for energy efficiency aware thermal management in a portable computing device that contains a heterogeneous, multi-processor system on a chip (“SoC”) are disclosed. Because individual processing components in a heterogeneous, multi-processor SoC may exhibit different processing efficiencies at a given temperature, energy efficiency aware thermal management techniques that compare performance data of the individual processing components at their measured operating temperatures can be leveraged to optimize quality of service (“QoS”) by adjusting the power supplies to, reallocating workloads away from, or transitioning the power mode of, the least energy efficient processing components. In these ways, embodiments of the solution optimize the average amount of power consumed across the SoC to process a MIPS of workload.

Abstract: Various embodiments of methods and systems for energy efficiency aware thermal management in a portable computing device that contains a heterogeneous, multi-processor system on a chip (“SoC”) are disclosed. Because individual processing components in a heterogeneous, multi-processor SoC may exhibit different processing efficiencies at a given temperature, energy efficiency aware thermal management techniques that compare performance data of the individual processing components at their measured operating temperatures can be leveraged to optimize quality of service (“QoS”) by adjusting the power supplies to, reallocating workloads away from, or transitioning the power mode of, the least energy efficient processing components. In these ways, embodiments of the solution optimize the average amount of power consumed across the SoC to process a MIPS of workload.

Abstract: A temperature of a component within the portable computing device (PCD) may be monitored along with a parameter associated with the temperature. The parameter associated with temperature may be an operating frequency, transmission power, or a data flow rate. It is determined if the temperature has exceeded a threshold value. If the temperature has exceeded the threshold value, then the temperature is compared with a temperature set point and a first error value is then calculated based on the comparison. Next, a first optimum value of the parameter is determined based on the first error value. If the temperature is below or equal to the threshold value, then a present value of the parameter is compared with a desired threshold for the parameter and a second error value is calculated based on the comparison. A second optimum value of the parameter may be determined based on the second error value.

Abstract: The various aspects provide for a device and methods for intelligent multicore control of a plurality of processor cores of a multicore integrated circuit. The aspects may identify and activate an optimal set of processor cores to achieve the lowest level power consumption for a given workload or the highest performance for a given power budget. The optimal set of processor cores may be the number of active processor cores or a designation of specific active processor cores. When a temperature reading of the processor cores is below a threshold, a set of processor cores may be selected to provide the lowest power consumption for the given workload. When the temperature reading of the processor cores is above the threshold, a set processor cores may be selected to provide the best performance for a given power budget.

Abstract: A method is disclosed for controlling the deactivation of a telecommunications modem based on the call type, independent of the connection quality, to minimize power consumption. The present invention is particularly useful in mobile applications when the vehicle's ignition is off and power resources are limited. Telematics control units (TCUs), installed in mobile vehicles, communicate with a service provider through a cellular communication network to provide telematics functionality for the vehicles. In one embodiment, the service provider sends a message which triggers the TCU to place a maintenance call to the service provider. During the maintenance call messaging, the TCU identifies a particular call type of the maintenance call. For any of the possible maintenance call types, the TCU will have stored in advance an allowed execution time for that call type. The TCU will set a call timer to the allowed execution time for that call type.

Abstract: A method is disclosed for controlling the deactivation of a telecommunications modem based on the call type, independent of the connection quality, to minimize power consumption. The present invention is particularly useful in mobile applications when the vehicle's ignition is off and power resources are limited. Telematics control units (TCUs), installed in mobile vehicles, communicate with a service provider through a cellular communication network to provide telematics functionality for the vehicles. In one embodiment, the service provider sends a message which triggers the TCU to place a maintenance call to the service provider. During the maintenance call messaging, the TCU identifies a particular call type of the maintenance call. For any of the possible maintenance call types, the TCU will have stored in advance an allowed execution time for that call type. The TCU will set a call timer to the allowed execution time for that call type.