Abstract: A method and apparatus for performing inter-lane power management includes de-energizing one or more execution lanes upon a determination that the one or more execution lanes are to be predicated. Energy from the predicated execution lanes is redistributed to one or more active execution lanes.

Abstract: A plurality of memory blocks are connected to a computation-enabled switch that provides data paths between the plurality of memory blocks. The computation-enabled switch performs one or more computations on data stored in one or more of the plurality of memory blocks during transfer of the data along one or more of the data paths between the plurality of memory blocks.

Abstract: The methods and apparatus can assign processing core workloads to processing cores from a heterogeneous instruction set architectures (ISA) pool of available processing cores based on processing core metric results. For example, the method and apparatus can obtain processing core metric results for one or more processing cores, such as processing cores within general purpose processors, from a heterogeneous ISA pool of available processing cores. The method and apparatus can also obtain one or more processing core workloads, such as software applications or software processes, from a pool of available processing core workloads to be assigned. The method and apparatus can then assign one or more processing core workloads that have higher priority than others from the pool of available processing core workloads to a processing core from the heterogeneous ISA pool of available processing cores based on its processing core metric result.

Abstract: In one form, scheduling data migration comprises determining whether the data is likely to be used by an input/output (I/O) device, the data being at a location remote to the I/O device; and scheduling the data for migration from the remote location to a location local to the I/O device in response to determining that the data is likely to be used by the I/O device.

Abstract: Systems, apparatuses, and methods for sorting memory pages in a multi-level heterogeneous memory architecture. The system may classify pages into a first “hot” category or a second “cold” category. The system may attempt to place the “hot” pages into the memory level(s) closest to the systems' processor cores. The system may track parameters associated with each page, with the parameters including number of accesses, types of accesses, power consumed per access, temperature, wearability, and/or other parameters. Based on these parameters, the system may generate a score for each page. Then, the system may compare the score of each page to a threshold. If the score of a given page is greater than the threshold, the given page may be designated as “hot”. If the score of the given page is less than the threshold, the given page may be designated as “cold”.

Abstract: A method of managing memory in a network of nodes includes identifying memory resources for each of the plurality of nodes connected to the network, storing memory resource information describing the memory resources, and based on the stored memory resource information, allocating a portion of the memory resources for execution of instructions in a workload, where at least a first node of the plurality of nodes is configured to execute the workload using the allocated portion of the memory resources.

Abstract: A memory module stores memory access metadata reflecting information about memory accesses to the memory module. The memory access metadata can indicate the number of times a particular unit of data (e.g., a row of data, a unit of data corresponding to a cache line, and the like) has been read, written, had one or more of its bits flipped, and the like. Modifications to the embedded access metadata can be made by a control module at the memory module itself, thereby reducing overhead at a processor core. In addition, the control module can be configured to record different access metadata for different memory locations of the memory module.

Abstract: A processor employs multiple prefetchers at a processor to identify patterns in memory accesses to different memory modules. The memory accesses can include transfers between the memory modules, and the prefetchers can prefetch data directly from one memory module to another based on patterns in the transfers. This allows the processor to efficiently organize data at the memory modules without direct intervention by software or by a processor core, thereby improving processing efficiency.

Abstract: A processing device includes a first memory that includes a context buffer. The processing device also includes a processor core to execute threads based on context information stored in registers of the processor core and a memory controller to selectively move a subset of the context information between the context buffer and the registers based on one or more latencies of the threads.

Abstract: In one form, scheduling data migration comprises determining whether the data is likely to be used by an input/output (I/O) device, the data being at a location remote to the I/O device; and scheduling the data for migration from the remote location to a location local to the I/O device in response to determining that the data is likely to be used by the I/O device.

Abstract: In one form, a computer system includes a central processing unit, a memory controller coupled to the central processing unit and capable of accessing non-volatile random access memory (NVRAM), and an NVRAM-aware operating system. The NVRAM-aware operating system causes the central processing unit to selectively execute selected ones of a plurality of application programs, and is responsive to a predetermined operation to cause the central processing unit to execute a memory persistence procedure using the memory controller to access the NVRAM.

Abstract: A processor modifies memory management mode for a range of memory locations of a multilevel memory hierarchy based on changes in an application phase of an application executing at a processor. The processor monitors the application phase (e.g.,. computation-bound phase, input/output phase, or memory access phase) of the executing application and in response to a change in phase consults a management policy to identify a memory management mode. The processor automatically reconfigures a memory controller and other modules so that a range of memory locations of the multilevel memory hierarchy are managed according to the identified memory management mode. By changing the memory management mode for the range of memory locations according to the application phase, the processor improves processing efficiency and flexibility.

Abstract: A system includes a plurality of memory classes and a set of one or more processing units coupled to the plurality of memory classes. The system further includes a data migration controller to select a traffic rate as a maximum traffic rate for transferring data between the plurality of memory classes based on a net benefit metric associated with the traffic rate, and to enforce the maximum traffic rate for transferring data between the plurality of memory classes.

Abstract: According to an example, an application performance measurement for an application for a current time interval, a performance specification for the application, and a resource consumption metric for a resource of a plurality of resources that are to process the application for the current time interval may be accessed. In addition, the application performance measurement, the performance specification, and the resource consumption metric may be used to determine a resource specification for a next time interval for the resource of the plurality of resources. Moreover, the resource specification may be used to determine, by a processor, a resource weight for the resource of the plurality of resources for the next time interval.

Abstract: A method of maximizing server utilization within a datacenter comprising collocating a number of workloads to a subset of a number of physical servers within a datacenter, adjusting access to resources by critical and non-critical workloads, isolating a number of critical workloads that share resources to the subset of resource instances, and controlling resource utilization of the collocated workloads. A system for collocating workloads in a datacenter, the system comprising a number of servers communicatively coupled to each other and a collocation module that receives information from each server and decides whether to leave a workload running on one of any of the servers on that server, or migrate a workload running on one of the number of servers to another server.

Abstract: A method of maximizing server utilization within a datacenter comprising collocating a number of workloads to a subset of a number of physical servers within a datacenter, adjusting access to resources by critical and non-critical workloads, isolating a number of critical workloads that share resources to the subset of resource instances, and controlling resource utilization of the collocated workloads. A system for collocating workloads in a datacenter, the system comprising a number of servers communicatively coupled to each other and a collocation module that receives information from each server and decides whether to leave a workload running on one of any of the servers on that server, or migrate a workload running on one of the number of servers to another server.

Abstract: In a method for managing a facility that is to receive resources from a first resource supply, a supply of resources available from the first resource supply is predicted for a predetermined period of time. In addition, a demand for resources in the facility during the predetermined period of time is predicted. A capacity schedule for the facility is planned to meet a predefined operational goal, in which the plan of the capacity schedule uses as inputs, the predicted supply of resources available from the first resource supply and the predicted demand for resources in the facility during the predetermined period of time. Moreover, a determination as to whether the planned capacity schedule meets the predefined operational goal is made.

Abstract: According to an example, an application performance measurement for an application for a current time interval, a performance specification for the application, and a resource consumption metric for a resource of a plurality of resources that are to process the application for the current time interval may be accessed. In addition, the application performance measurement, the performance specification, and the resource consumption metric may be used to determine a resource specification for a next time interval for the resource of the plurality of resources. Moreover, the resource specification may be used to determine, by a processor, a resource weight for the resource of the plurality of resources for the next time interval.

Abstract: A method of maximizing server utilization within a datacenter comprising collocating a number of workloads to a subset of a number of physical servers within a datacenter, adjusting access to resources by critical and non-critical workloads, isolating a number of critical workloads that share resources to the subset of resource instances, and controlling resource utilization of the collocated workloads. A system for collocating workloads in a datacenter, the system comprising a number of servers communicatively coupled to each other and a collocation module that receives information from each server and decides whether to leave a workload running on one of any of the servers on that server, or migrate a workload running on one of the number of servers to another server.