Abstract: An apparatus including a voltage safety verification unit (VSVU) configured to receive an indication of a first performance state, the first performance state being associated with a first voltage. The first performance state applies to at least one computing system component and the indication is received by a computing system component distinct from the requesting computing system component. The VSVU is configured to receive an indication of a second performance state. The second performance state is associated with a second voltage that is not equal to the first voltage. The VSVU is configured to determine whether the second performance state is within a range defined by a minimum and maximum performance state. Responsive to a determination that the second performance state is within the, the VSVU is configured to set the voltage of the at least one computing system component equal to the voltage associated with the second performance state.

Abstract: A performance supervisor computer program product is configured to set a maximum and a minimum performance operating limit for a plurality of processing units in accordance with a set of one or more rules enforced by the performance supervisor. Each of the plurality of processing units has logic configured to ensure a request for an operational setting complies with the maximum and minimum operating limits. Each of the plurality of processing units is configured to output a request for a limit compliant operational setting to a performance controller. The performance controller is configured to actuate the operational request.

Abstract: A distributed power management computer program product is configured to collect power consumption data that indicates power consumption by at least a plurality of the components of a node. The program code can be configured to provide, to each of a plurality of controllers associated with a respective one of the plurality of components, the power consumption data. The program code can be configured to determine a node power consumption. The program code can be configured to determine a power differential as a difference between the node power consumption and an upper power consumption threshold of the node. The program code can be configured to determine a proportion of the node power consumption consumed by a first component. The program code can be configured to compute a local power budget for the first component.

Abstract: Embodiments of the inventive subject matter include setting minimum and maximum performance operating limits for each of a plurality of controllers. The operating limits are set in accordance with performance rules imposed on the system. In response to a request to change operation of a processing unit to a requested operational setting, it is determined whether the requested operational setting complies with the minimum and maximum performance operating limits. The minimum performance operating limit is sent to a performance controller if the requested operational setting does not comply with the minimum performance operating limit. The maximum performance operating limit is sent to a performance controller if the requested operational setting does not comply with the maximum performance operating limit. The requested operational setting is sent to a performance controller if the requested operational setting complies with the minimum and maximum performance operating limits.

Abstract: A mechanism is provided for estimating energy/power consumption of a fixed-frequency operating mode while system is running in dynamic power management mode. For each time interval in a plurality of time intervals within a time period: a first processor identifies a modeled total nominal power value for at least one second processor during a current time interval, stores the modeled total nominal power value for the current time interval in a storage, identifies a dynamic power management mode power value for the at least one second processor in the data processing system during the current interval, and stores the dynamic power management mode power value for the current time interval in the storage. Responsive to the time period expiring, a comparison is produced of a plurality of modeled total nominal power values and a plurality of dynamic power management mode power values over the time period.

Abstract: A method to reduce large temperature over/undershoot in a computer system. Using workload data, the method proactively modifies controls of mechanical cooling system to anticipate power and take appropriate actions to maintain temperature. Workload control modifies workload and scheduling to reduce power transients and subsequent temperature deviations. In addition, workload control allows more even distribution of temp across chips, allowing for even wear and reduction of small/ripple/noise temp oscillations. A system and program product for carrying out the method are also provided.

Abstract: A mechanism is provided for minimizing system power in the data processing system with fast convergence. A current aggregate system power value is determined using a current thermal threshold value. For each potential thermal threshold value in a set of potential thermal threshold values, a determination is made as to whether there is a potential thermal threshold value that results in a potential aggregate system power value that is lower than the current aggregate system power value. Responsive to identifying an optimal potential thermal threshold value from the set of potential thermal threshold values that results in minimum aggregate system power value that is lower than the current aggregate system power value, the optimal potential thermal threshold value is set as a new thermal threshold value.

Abstract: A mechanism is provided for minimizing system power in the data processing system with fast convergence. A current aggregate system power value is determined using a current thermal threshold value. For each potential thermal threshold value in a set of potential thermal threshold values, a determination is made as to whether there is a potential thermal threshold value that results in a potential aggregate system power value that is lower than the current aggregate system power value. Responsive to identifying an optimal potential thermal threshold value from the set of potential thermal threshold values that results in minimum aggregate system power value that is lower than the current aggregate system power value, the optimal potential thermal threshold value is set as a new thermal threshold value.

Abstract: A system for identifying a subset of sensors to sample to reduce the frequency of sensor access. The system determines rise times and records values for the sensors in the system. A time criticality of the sensors is determined based on the rise times. The system processes the sensors by first creating sensor subsets based on one or more constraints on the sensors. The system monitors the values of the sensors in a sensor subset and flags a sensor when it makes a determination that, prior to a next scheduled sampling of the sensor subset, the value of a sensor in the monitored sensor subset will exceed a threshold constraint. The system moves those flagged sensors to a second sensor subset which complies with the sensor's constraints.

Abstract: Methods, systems, and media for remote control of a vehicle device and vehicle lockout notification are disclosed. Embodiments comprise a method of creating a secure bidirectional communication link between a remote access device and a central locking unit (CLU) of a vehicle, enabling the central locking unit to authenticate a user of the remote access device to manipulate a device of the vehicle. In some embodiments, the CLU may wait for an access attempt from a mobile device. In other embodiments, the CLU monitor vehicle conditions, detect a lockout condition, and alert the user before authenticating and granting vehicle access. Embodiments utilize private and shared key encryption methods to facilitate securely passing an access code between the CLU and the remote access device. Some embodiments authenticate the user by voice verification, while other embodiments may use personal identification numbers.

Abstract: A system for identifying a subset of sensors to sample to reduce the frequency of sensor access. The system determines rise times and records values for the sensors in the system. A time criticality of the sensors is determined based on the rise times. The system processes the sensors by first creating sensor subsets based on one or more constraints on the sensors. The system monitors the values of the sensors in a sensor subset and flags a sensor when it makes a determination that, prior to a next scheduled sampling of the sensor subset, the value of a sensor in the monitored sensor subset will exceed a threshold constraint. The system moves those flagged sensors to a second sensor subset which complies with the sensor's constraints.

Abstract: A system for identifying a subset of sensors to sample to reduce the frequency of sensor access. The system determines rise times and records values for the sensors in the system. A time criticality of the sensors is determined based on the rise times. The system processes the sensors by first creating sensor subsets based on one or more constraints on the sensors. The system monitors the values of the sensors in a sensor subset and flags a sensor when it makes a determination that, prior to a next scheduled sampling of the sensor subset, the value of a sensor in the monitored sensor subset will exceed a threshold constraint. The system moves those flagged sensors to a second sensor subset which complies with the sensor's constraints.

Abstract: A system for identifying a subset of sensors to sample to reduce the frequency of sensor access. The system determines rise times and records values for the sensors in the system. A time criticality of the sensors is determined based on the rise times. The system processes the sensors by first creating sensor subsets based on one or more constraints on the sensors. The system monitors the values of the sensors in a sensor subset and flags a sensor when it makes a determination that, prior to a next scheduled sampling of the sensor subset, the value of a sensor in the monitored sensor subset will exceed a threshold constraint. The system moves those flagged sensors to a second sensor subset which complies with the sensor's constraints.