Abstract: Embodiments include collecting, from each of a plurality of controllers of a node having a plurality of components, component power consumption. Each of the plurality of controllers is associated with one or more of the components. The component power consumptions are provided to the controllers. A node power consumption for the node is determined based, at least in part, on the component power consumption. The power cap is determined for the plurality of components. A power differential power is determined as a difference between the node power consumption and the power cap for the plurality of components. A proportion of the node power consumption consumed by the component is determined based on the component power consumption of the component. A local power budget is computed for the component based, at least in part, on the power differential and the proportion of the node power consumption consumed by the component.

Abstract: Embodiments include collecting, from each of a plurality of controllers of a node having a plurality of components, component power consumption. Each of the plurality of controllers is associated with one or more of the components. The component power consumptions are provided to the controllers. A node power consumption for the node is determined based, at least in part, on the component power consumption. The power cap is determined for the plurality of components. A power differential power is determined as a difference between the node power consumption and the power cap for the plurality of components. A proportion of the node power consumption consumed by the component is determined based on the component power consumption of the component. A local power budget is computed for the component based, at least in part, on the power differential and the proportion of the node power consumption consumed by the component.

Abstract: A maximum and a minimum performance operating limit is set 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 system with scalable data collection for system management comprises a plurality of local data collectors and a system collector. Each of the local data collectors is coupled with a corresponding subsystem of the system. Each of the local data collectors is configured to periodically collect power management related data from the corresponding subsystem, and to format the collected power management related data for conveyance along any one of a plurality of channels between the local data collector and the system collector. The system collector is coupled with the plurality of local data collectors via the plurality of channels. The system collector selects from the channels between the system collector and each of the local data collectors based, at least in part, on channel states, and retrieves the power management related data collected by each of the local data collectors along a selected channel for the local data collector.

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: According to an aspect, power management of a multi-core processing system includes determining workload characteristics in the multi-core processing system. A power adjustment scenario is identified based on the workload characteristics. A predetermined actuation order for at least two power adjustment actuators is identified based on the power adjustment scenario. Based on the predetermined actuation order, it is determined whether there is an adequate adjustment capacity for a power adjustment action associated with one of the at least two power adjustment actuators. The power adjustment action is initiated based on the predetermined actuation order and determining that the adequate adjustment capacity is available.

Abstract: It is determined that a current node power consumption for a node is greater than a node power cap that defines a limit of power consumption for the node. Responsive to the current node power consumption being greater than the node power cap and until the current node power consumption is less than the node power cap, power reduction operations are performed. The power reduction operations comprise determining a power management zone of a plurality of power management zones having a lowest priority among the power management zones and having a power cap greater than a minimum power cap for the power management zone. The power reduction operations further comprise setting the power cap for the power management zone to a value less than a prior value assigned as the power cap for the power management zone.

Abstract: It is determined that a current node power consumption for a node is greater than a node power cap that defines a limit of power consumption for the node. Responsive to the current node power consumption being greater than the node power cap and until the current node power consumption is less than the node power cap, power reduction operations are performed. The power reduction operations comprise determining a power management zone of a plurality of power management zones having a lowest priority among the power management zones and having a power cap greater than a minimum power cap for the power management zone. The power reduction operations further comprise setting the power cap for the power management zone to a value less than a prior value assigned as the power cap for the power management zone.

Abstract: A zone power cap for a power management zone that defines a limit of power consumption for the power management zone is determined. The power management zone comprises a plurality of components, wherein the power management zone is associated with a controller. A set of one or more characteristics of a workload associated with the power management zone is determined. A component power cap for one or more of the plurality of components is set based, at least in part, on the set of one or more characteristics of the workload and the zone power cap.

Abstract: A zone power cap for a power management zone that defines a limit of power consumption for the power management zone is determined. The power management zone comprises a plurality of components, wherein the power management zone is associated with a controller. A set of one or more characteristics of a workload associated with the power management zone is determined. A component power cap for one or more of the plurality of components is set based, at least in part, on the set of one or more characteristics of the workload and the zone power cap.

Abstract: A computer configuration utility automatically alters system configuration parameters to sample multiple different configurations. At least one workrate metric is measured at each sampled configuration. The workrate measurements for the multiple different configurations are compared to determine the effect of different configurations with respect to at least one optimization criterion. System configuration is automatically adjusted to the optimum configuration. Preferably, the workrate metric is (non-idle) instructions executed per unit of time.

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: A system with scalable data collection for system management comprises a plurality of local data collectors and a system collector. Each of the local data collectors is coupled with a corresponding subsystem of the system. Each of the local data collectors is configured to periodically collect power management related data from the corresponding subsystem, and to format the collected power management related data for conveyance along any one of a plurality of channels between the local data collector and the system collector. The system collector is coupled with the plurality of local data collectors via the plurality of channels. The system collector selects from the channels between the system collector and each of the local data collectors based, at least in part, on channel states, and retrieves the power management related data collected by each of the local data collectors along a selected channel for the local data collector.

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 computer configuration utility automatically alters system configuration parameters to sample multiple different configurations. At least one workrate metric is measured at each sampled configuration. The workrate measurements for the multiple different configurations are compared to determine the effect of different configurations with respect to at least one optimization criterion. System configuration is automatically adjusted to the optimum configuration. Preferably, the workrate metric is (non-idle) instructions executed per unit of time.

Abstract: A system and method are directed towards a pseudo multi-master operation on a serial bus. The pseudo multi-master operation allows multiple devices without standard multi-master functionality to operate on the serial bus as masters. In a disclosed example, the serial bus is an Inter-Integrated Circuit (I2C) bus, which is isolated when an adapter card requires access to the I2C bus, such as to update vital product data (VPD) to a memory device, and to cache the updated VPD to a chassis management module.

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 system and method are directed towards a pseudo multi-master operation on a serial bus. The pseudo multi-master operation allows multiple devices without standard multi-master functionality to operate on the serial bus as masters. In a disclosed example, the serial bus is an Inter-Integrated Circuit (I2C) bus, which is isolated when an adapter card requires access to the I2C bus, such as to update vital product data (VPD) to a memory device, and to cache the updated VPD to a chassis management module.

Abstract: A mechanism is provided for controlling operational parameters associated with a plurality of processors. A control system in the data processing system determines a utilization slack value of the data processing system. The utilization slack value is determined using one or more active core count values and one or more slack core count values. The control system computes a new utilization metric to be a difference between a full utilization value and the utilization slack value. The control system determines whether the new utilization metric is below a predetermined utilization threshold. Responsive to the new utilization metric being below the predetermined utilization threshold, the control system decreases a frequency of the plurality of processors.