Abstract: In one embodiment, a processor includes: a plurality of cores to execute instructions; at least one monitor coupled to the plurality of cores to measure at least one of power information, temperature information, or scalability information; and a control circuit coupled to the at least one monitor. Based at least in part on the at least one of the power information, the temperature information, or the scalability information, the control circuit is to notify an operating system that one or more of the plurality of cores are to transition to a forced idle state in which non-affinitized workloads are prevented from being scheduled. Other embodiments are described and claimed.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to allocate accelerator usage. An apparatus to allocate accelerator usage comprises: at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to: store data identifying at least one processing unit in communication with a processing circuitry and at least one class; predict an execution of the at least one processing unit workload based on at least one capability; and schedule which processing unit the workload to run on based on at least one of (i) processor circuitry or (ii) user priority parameters.

Abstract: The present disclosure is directed to dynamically prioritizing, selecting or ordering a plurality threads for execution by processor circuitry based on a quality of service and/or class of service value/indicia assigned to the thread by an operating system executed by the processor circuitry. As threads are executed by processor circuitry, the operating system dynamically updates/associates respective class of service data with each of the plurality of threads. The current quality of service/class of service data assigned to the thread by the operating system is stored in a manufacturer specific register (MSR) associated with the respective thread. Selection circuitry polls the MSRs on a periodic, aperiodic, intermittent, continuous, or event-driven basis and determines an execution sequence based on the current class of service value associated with each of the plurality of threads.

Abstract: A data processing system comprises a hybrid processor comprising a big TPU and a small TPU. At least one of the TPUs comprises an LP of a processing core that supports SMT. The hybrid processor further comprises hardware feedback circuitry. A machine-readable medium in the data processing system comprises instructions which, when executed, enable an OS in the data processing system to collect (a) processor topology data from the hybrid processor and (b) hardware feedback for at least one of the TPUs from the hardware feedback circuitry. The instructions also enable the OS to respond to a determination that a thread is ready to be scheduled by utilizing (a) an OP setting for the ready thread, (b) the processor topology data, and (c) the hardware feedback to make a scheduling determination for the ready thread. Other embodiments are described and claimed.

Abstract: An apparatus and method for intelligently scheduling threads across a plurality of logical processors.

Abstract: Embodiments of apparatuses, methods, and systems for resource control based on software priority are described. In embodiments, an apparatus includes resource sharing hardware and multiple cores. The resource sharing hardware is to share the shared resource among the cores. A first core includes first execution circuitry to execute multiple threads. The first core also includes registers programmable by software. A first register is to store a first identifier of a first thread and a first priority tag to indicate a first priority of the first thread relative to a second priority of a second thread. A second register to store a second identifier of the second thread and a second priority tag to indicate the second priority of the second thread relative to the first priority of the first thread. The resource sharing hardware is to use the first priority and the second priority to control access to the shared resource by the first thread and the second thread.

Abstract: A hardware and software coordinated processor power state policy (e.g., policy for C-state) that delivers optimal power state selection by taking in to account the performance and/or responsiveness needs of thread expected to be scheduled on the core entering idle, to achieve improved IPC and performance for cores running user critical tasks. The scheme provides the ability to deliver responsiveness gains for important and/or user-critical threads running on a system-on-chip. A power management controller coupled to the plurality of processing cores, wherein the power management controller receives a hint from an operating system indicative of a bias towards a power state or performance state for at least one of the processing cores of the plurality of processing cores based on a priority of a thread in context switch.

Abstract: Systems, apparatuses and methods may provide for technology that automatically determines a runtime performance of a plurality of heterogeneous processing units based on system-level thread characteristics, wherein the runtime performance is determined on a per performance class basis. The technology may also automatically determine a runtime energy efficiency of the heterogeneous processing units, wherein the runtime energy efficiency is determined on a per efficiency class basis. In one example, technology selectively unparks one or more of the heterogeneous processing units based on the runtime performance and the runtime energy efficiency.

Abstract: A data processing system comprises a hybrid processor comprising a big TPU and a small TPU. At least one of the TPUs comprises an LP of a processing core that supports SMT. The hybrid processor further comprises hardware feedback circuitry. A machine-readable medium in the data processing system comprises instructions which, when executed, enable an OS in the data processing system to collect (a) processor topology data from the hybrid processor and (b) hardware feedback for at least one of the TPUs from the hardware feedback circuitry. The instructions also enable the OS to respond to a determination that a thread is ready to be scheduled by utilizing (a) an OP setting for the ready thread, (b) the processor topology data, and (c) the hardware feedback to make a scheduling determination for the ready thread. Other embodiments are described and claimed.

Abstract: An apparatus and method for intelligently scheduling threads across a plurality of logical processors.

Abstract: In an embodiment, a processor includes a plurality of processing engines (PEs) to execute threads, and a guide unit. The guide unit is to: monitor execution characteristics of the plurality of PEs and the threads; generate a plurality of PE rankings, each PE ranking including the plurality of PEs in a particular order; and store the plurality of PE rankings in a memory to be provided to a scheduler, the scheduler to schedule the threads on the plurality of PEs using the plurality of PE rankings. Other embodiments are described and claimed.

Abstract: The present disclosure is directed to dynamically prioritizing, selecting or ordering a plurality threads for execution by processor circuitry based on a quality of service and/or class of service value/indicia assigned to the thread by an operating system executed by the processor circuitry. As threads are executed by processor circuitry, the operating system dynamically updates/associates respective class of service data with each of the plurality of threads. The current quality of service/class of service data assigned to the thread by the operating system is stored in a manufacturer specific register (MSR) associated with the respective thread. Selection circuitry polls the MSRs on a periodic, aperiodic, intermittent, continuous, or event-driven basis and determines an execution sequence based on the current class of service value associated with each of the plurality of threads.

Abstract: In an embodiment, a processor includes a plurality of processing engines (PEs) to execute threads, and a guide unit. The guide unit is to: monitor execution characteristics of the plurality of PEs and the threads; generate a plurality of PE rankings, each PE ranking including the plurality of PEs in a particular order; and store the plurality of PE rankings in a memory to be provided to a scheduler, the scheduler to schedule the threads on the plurality of PEs using the plurality of PE rankings. Other embodiments are described and claimed.

Abstract: Technologies are provided in embodiments to dynamically bias performance of logical processors in a core of a processor. One embodiment includes identifying a first logical processor associated with a first thread of an application and a second logical processor associated with a second thread, obtaining first and second thread preference indicators associated with the first and second threads, respectively, computing a first relative performance bias value for the first logical processor based, at least in part, on a relativeness of the first and second thread preference indicators, and adjusting a performance bias of the first logical processor based on the first relative performance bias value. Embodiments can further include increasing the performance bias of the first logical processor based, at least in part, on the first relative performance bias value indicating a first performance preference that is higher than a second performance preference.

Abstract: Apparatuses, methods and storage medium associated with scheduling of threads and/or virtual machines, are disclosed herein. In embodiments, an apparatus is provided with a scheduler of an operating system and/or a virtual machine monitor. The scheduler is to retrieve or receive capabilities of the cores of one or more multi-core processors of the apparatus with diverse capabilities, and schedule a plurality of threads for execution on selected one or ones of the cores, based at least in part on the capabilities of the cores and characteristics of the plurality of threads. The virtual machine monitor is to retrieve or receive capabilities of the cores, and schedule a plurality of virtual machines for execution on selected one or ones of the cores, based at least in part on the capabilities of the cores and respective priorities of the virtual machines. Other embodiments may be described and/or claimed.

Abstract: In an embodiment, a processor includes a plurality of processing engines (PEs) to execute threads, and a guide unit. The guide unit is to: monitor execution characteristics of the plurality of PEs and the threads; generate a plurality of PE rankings, each PE ranking including the plurality of PEs in a particular order; and store the plurality of PE rankings in a memory to be provided to a scheduler, the scheduler to schedule the threads on the plurality of PEs using the plurality of PE rankings. Other embodiments are described and claimed.

Abstract: In an embodiment, a processor includes a plurality of processing engines (PEs) to execute threads, and a guide unit. The guide unit is to: monitor execution characteristics of the plurality of PEs and the threads; generate a plurality of PE rankings, each PE ranking including the plurality of PEs in a particular order; and store the plurality of PE rankings in a memory to be provided to a scheduler, the scheduler to schedule the threads on the plurality of PEs using the plurality of PE rankings. Other embodiments are described and claimed.

Abstract: Technologies are provided in embodiments to dynamically bias performance of logical processors in a core of a processor. One embodiment includes identifying a first logical processor associated with a first thread of an application and a second logical processor associated with a second thread, obtaining first and second thread preference indicators associated with the first and second threads, respectively, computing a first relative performance bias value for the first logical processor based, at least in part, on a relativeness of the first and second thread preference indicators, and adjusting a performance bias of the first logical processor based on the first relative performance bias value. Embodiments can further include increasing the performance bias of the first logical processor based, at least in part, on the first relative performance bias value indicating a first performance preference that is higher than a second performance preference.

Abstract: Apparatuses, methods and storage medium associated with scheduling of threads and/or virtual machines, are disclosed herein. In embodiments, an apparatus is provided with a scheduler of an operating system and/or a virtual machine monitor. The scheduler is to retrieve or receive capabilities of the cores of one or more multi-core processors of the apparatus with diverse capabilities, and schedule a plurality of threads for execution on selected one or ones of the cores, based at least in part on the capabilities of the cores and characteristics of the plurality of threads. The virtual machine monitor is to retrieve or receive capabilities of the cores, and schedule a plurality of virtual machines for execution on selected one or ones of the cores, based at least in part on the capabilities of the cores and respective priorities of the virtual machines. Other embodiments may be described and/or claimed.