Abstract: According to one embodiment, a processor includes a plurality of processor cores for executing a plurality of threads, a shared storage communicatively coupled to the plurality of processor cores, a power control unit (PCU) communicatively coupled to the plurality of processors to determine, without any software (SW) intervention, if a thread being performed by a first processor core should be migrated to a second processor core, and a migration unit, in response to receiving an instruction from the PCU to migrate the thread, to store at least a portion of architectural state of the first processor core in the shared storage and to migrate the thread to the second processor core, without any SW intervention, such that the second processor core can continue executing the thread based on the architectural state from the shared storage without knowledge of the SW.

Abstract: In accordance with some embodiments, a cloud service provider may operate a data center in a way that dynamically reallocates resources across nodes within the data center based on both utilization and service level agreements. In other words, the allocation of resources may be adjusted dynamically based on current conditions. The current conditions in the data center may be a function of the nature of all the current workloads. Instead of simply managing the workloads in a way to increase overall execution efficiency, the data center instead may manage the workload to achieve quality of service requirements for particular workloads according to service level agreements.

Abstract: In one embodiment, the present invention includes a method for receiving an interrupt from an accelerator, sending a resume signal directly to a small core responsive to the interrupt and providing a subset of an execution state of the large core to the first small core, and determining whether the small core can handle a request associated with the interrupt, and performing an operation corresponding to the request in the small core if the determination is in the affirmative, and otherwise providing the large core execution state and the resume signal to the large core. Other embodiments are described and claimed.

Abstract: Embodiments of systems, apparatuses, and methods for energy-efficient operation of a device are described. In some embodiments, a cache performance indicator of a cache is monitored, and a set of one or more cache performance parameters based on the cache performance indicator is determined. The cache is dynamically resized to an optimal cache size based on a comparison of the cache performance parameters to their energy-efficient targets to reduce power consumption.