Abstract: Systems and methods are disclosed for scheduling threads on a processor that has at least two different core types, such as an asymmetric multiprocessing system. Each core type can run at a plurality of selectable voltage and frequency scaling (DVFS) states. Threads from a plurality of processes can be grouped into thread groups. Execution metrics are accumulated for threads of a thread group and fed into a plurality of tunable controllers for the thread group. A closed loop performance control (CLPC) system determines a control effort for the thread group and maps the control effort to a recommended core type and DVFS state. A closed loop thermal and power management system can limit the control effort determined by the CLPC for a thread group, and limit the power, core type, and DVFS states for the system. Deferred interrupts can be used to increase performance.

Abstract: An example computer-implemented method includes determining, by an electronic device, that the electronic device has not received a user activity for an interval of time. The method also includes determining, by the electronic device, a contextual state of the electronic device, and adapting, by the electronic device, a sleep delay value based on the determined contextual state of the electronic device. The method also includes determining that the interval of time has exceeded the sleep delay value, and responsive to determining that the interval of time has exceeded the sleep delay value, transitioning, by the electronic device, from a first power state to a second power state, where the first power state is higher or lower than the second power state.

Abstract: An example computer-implemented method includes determining, by an electronic device, that the electronic device has not received a user activity for an interval of time. The method also includes determining, by the electronic device, a contextual state of the electronic device, and adapting, by the electronic device, a sleep delay value based on the determined contextual state of the electronic device. The method also includes determining that the interval of time has exceeded the sleep delay value, and responsive to determining that the interval of time has exceeded the sleep delay value, transitioning, by the electronic device, from a first power state to a second power state, where the first power state is higher or lower than the second power state.

Abstract: An example computer-implemented method includes determining, by an electronic device, that the electronic device has not received a user activity for an interval of time. The method also includes determining, by the electronic device, a contextual state of the electronic device, and adapting, by the electronic device, a sleep delay value based on the determined contextual state of the electronic device. The method also includes determining that the interval of time has exceeded the sleep delay value, and responsive to determining that the interval of time has exceeded the sleep delay value, transitioning, by the electronic device, from a first power state to a second power state, where the first power state is higher or lower than the second power state.

Abstract: Systems and methods described herein manage a computing device. A method includes receiving a threshold for an operating condition of a first computing device. An expected resource utilization of a computer program is determined. In addition, the method determines whether the computer program may be executed within the first computing device based on the operating condition threshold and the expected resource utilization of the computer program.

Abstract: Management of contexts that execute on a computer system is described. More specifically, context scheduling in a virtual machine environment is described. Times at which a context transitions from a scheduled state to a descheduled state and times at which the context transitions from a descheduled state to a scheduled state are recorded for each context. Skew is detected using the recorded times. The amount of skew can be quantified, and a corrective action is triggered if the amount of skew fails to satisfy a threshold value.

Abstract: Management of contexts that execute on a computer system is described. More specifically, context scheduling in a virtual machine environment is described. A set of coscheduled contexts is monitored. If a skew metric associated with a first context of the coscheduled contexts fails to satisfy a condition, then a subset of the coscheduled contexts is descheduled although the first context remains scheduled.

Abstract: Management of contexts that execute on a computer system is described. More specifically, context scheduling in a virtual machine environment is described. A set of coscheduled contexts, including at least a first context and a second context, are monitored. The first and second contexts are alternately scheduled and descheduled so that both the first context and the second context are not concurrently scheduled.

Abstract: Management of contexts that execute on a computer system is described. More specifically, context scheduling in a virtual machine environment is described. A set of coscheduled contexts is monitored. If a skew metric associated with any one of the coscheduled contexts fails to satisfy a condition, then all coscheduled contexts in the set of coscheduled contexts not already descheduled are descheduled. After the contexts are descheduled, a subset of the set of coscheduled contexts is scheduled before the remainder of the set of coscheduled contexts.

Abstract: An abstraction layer is comprised in the operating system that represents the particulars of the PPMs. The abstractions in the abstraction layer are differentiated from one another by parameters representing the characteristics of the PPMs. The dispatcher uses the abstraction to balance processing loads when assigning execution threads to the PPMs. The assigning of the execution threads and the balancing of the processing loads is performed while taking account of the characteristics of the PPMs, such as shared resources and clock speed.