Abstract: The disclosed device for packet coalescing includes detecting a trigger condition for initiating packet coalescing of packet traffic and sending, to an endpoint device, a notification to start packet coalescing. The device can observe a status in response to starting the packet coalescing and report a performance of the packet coalescing. A system can include a controller that detects a trigger condition for packet coalescing and notifies an endpoint device via a notification register. The controller can read a status register to report, based on the read status, a packet coalescing performance. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: An electronic device includes a memory and a processor. The processor receives a platform management profile that includes information defining one or more platform management policies, a given platform management policy among the one or more platform management policies including a provided input from a specified hardware or software sensor and/or a provided output action. The processor uses the given platform management policy for controlling operating states of elements in the electronic device.

Abstract: Methods and systems are disclosed for managing the power consumed by cores of a system on chip (SoC). Techniques disclosed include obtaining application information that is indicative of an application being executed on the cores, detecting a workload associated with the application, and limiting one or more operating frequencies of the cores responsive to the detection of the workload. Techniques disclosed also include profiling the detected workload and limiting the one or more operating frequencies of the cores based on the profiling.

Abstract: An apparatus and method for efficiently scheduling tasks in a dynamic manner to multiple cores that support a heterogeneous computing architecture. A computing system includes multiple cores with at least two cores being capable of executing instructions of a same instruction set architecture (ISA), and therefore, are architecturally compatible. In an implementation, each of the at least two cores is a general-purpose central processing unit (CPU) core capable of executing instructions of a same ISA. However, the throughput and the power consumption greatly differ between the at least two cores based on their hardware designs. An operating system scheduler assigns a thread to a first core, and the first core measures thread dynamic behavior of the thread over a time interval. Based on the thread dynamic behavior, the scheduler reassigns the thread to a second core different from the first core.

Abstract: An electronic device includes an accelerated processing unit (APU) and multiple elements. The APU performs operations for a platform boost and throttle (PBT) controller. For the operations, the APU receives a platform electrical power limit, the platform electrical power limit being a limit on a total electrical power allowed to be consumed by a group of the elements at a given time. The APU then determines a present platform electrical power consumption. The APU next adjusts one or more operating parameters for specified elements from among the group of elements to control electrical power consumption by the specified elements based on a relationship between the present platform electrical power consumption and the platform electrical power limit.

Abstract: An electronic device includes an accelerated processing unit (APU) and multiple elements. The APU performs operations for a platform boost and throttle (PBT) controller. For the operations, the APU receives a platform electrical power limit, the platform electrical power limit being a limit on a total electrical power allowed to be consumed by a group of the elements at a given time. The APU then determines a present platform electrical power consumption. The APU next adjusts one or more operating parameters for specified elements from among the group of elements to control electrical power consumption by the specified elements based on a relationship between the present platform electrical power consumption and the platform electrical power limit.

Abstract: An electronic device includes a memory and a processor. The processor receives a platform management profile that includes information defining one or more platform management policies, a given platform management policy among the one or more platform management policies including a provided input from a specified hardware or software sensor and/or a provided output action. The processor uses the given platform management policy for controlling operating states of elements in the electronic device.

Abstract: Dynamic adjustment of power modes including: detecting an application identified in an application power policy; limiting an application power consumption of a computing component based on the application power policy; monitoring power consumption of a computing component; and selecting a power mode based on the monitored power consumption of the computing component and a power consumption threshold for each of a plurality of power modes.

Abstract: An electronic device includes a memory and a processor. The processor acquires a platform management profile, the platform management profile including information defining one or more platform management policies. The processor provides the platform management profile to platform management drivers executing on one or more electronic devices, the platform management profile being configured so that each of the platform management drivers can extract the one or more platform management policies from the platform management profile and use the one or more platform management policies for controlling operating states of elements (e.g., functional blocks, devices, etc.) of the respective electronic device.