Abstract:
PROBLEM TO BE SOLVED: To provide methods and apparatus for control of On-Die System Fabric (OSF) blocks.SOLUTION: An apparatus comprises: an OSF to couple a processor to a logic block using a physical address; and a memory to store in response to a user-level request a page table including a shadow address corresponding to the physical address, a virtual address corresponding to the physical address and an alias virtual address corresponding to the shadow address. A logic circuit (e.g., present in the OSF) may determine the physical address from the shadow address.
Abstract:
PROBLEM TO BE SOLVED: To prevent TLB (conversion index buffer) errors and page faults which tend to lead to a large time loss by stack development.SOLUTION: The invention includes a page fault handler to create page table entries and TLB entries in response to a page fault, to determine if the page fault results from stack access, to create a superpage table entry if the page fault results from stack access, and to create a TLB entry for the superpage.
Abstract:
Methods and apparatus for control of On-Die System Fabric (OSF) blocks are described. In one embodiment, a shadow address corresponding to a physical address may be stored in response to a user-level request and a logic circuitry (e.g., present in an OSF) may determine the physical address from the shadow address. Other embodiments are also disclosed.
Abstract:
Methods and apparatus to schedule applications in heterogeneous multiprocessor computing platforms are described. In one embodiment, information regarding performance (e.g., execution performance and/or power consumption performance) of a plurality of processor cores of a processor is stored (and tracked) in counters and/or tables. Logic in the processor determines which processor core should execute an application based on the stored information. Other embodiments are also claimed and disclosed.
Abstract:
An embodiment may include circuitry to select, at least in part, from a plurality of memories, at least one memory to store data. The memories may be associated with respective processor cores. The circuitry may select, at least in part, the at least one memory based at least in part upon whether the data is included in at least one page that spans multiple memory lines that is to be processed by at least one of the processor cores. If the data is included in the at least one page, the circuitry may select, at least in part, the at least one memory, such that the at least one memory is proximate to the at least one of the processor cores. Many alternatives, variations, and modifications are possible.
Abstract:
A method and apparatus for throttling power and/or performance of processing elements based on a priority of software entities is herein described. Priority aware power management logic receives priority levels of software entities and modifies operating points of processing elements associated with the software entities accordingly. Therefore, in a power savings mode, processing elements executing low priority applications/tasks are reduced to a lower operating point, i.e. lower voltage, lower frequency, throttled instruction issue, throttled memory accesses, and/or less access to shared resources. In addition, utilization logic potentially trackes utilization of a resource per priority level, which allows the power manager to determine operating points based on the affect of each priority level on each other from the perspective of the resources themselves. Moreover, a software entity itself may assign operating points, which the power manager enforces.
Abstract:
Embodiments of apparatuses, methods, and systems for exposing system topology to an execution environment are disclosed. In one embodiment, an apparatus includes execution cores and resources on a single integrated circuit, and topology logic. The topology logic is to populate a data structure with information regarding a relationship between the execution cores and the resources.
Abstract:
An apparatus and method for closed loop dynamic resource allocation. For example, one embodiment of a method comprises: collecting data related to usage of a plurality of resources by a plurality of workloads over one or more time periods, the workloads including priority workloads associated with one or more guaranteed performance levels and best effort workloads not associated with guaranteed performance levels; analyzing the data to identify resource reallocations from one or more of the priority workloads to one or more of the best effort workloads in one or more subsequent time periods while still maintaining the guaranteed performance levels; reallocating the resources from the priority workloads to the best effort workloads for the subsequent time periods; monitoring execution of the priority workloads with respect to the guaranteed performance level during the subsequent time periods; and preemptively reallocating resources from the best effort workloads to the priority workloads during the subsequent time periods to ensure compliance with the guaranteed performance level and responsive to detecting that the guaranteed performance level is in danger of being breached.