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77results about "Multiprocessor based energy comsumption reduction" patented technology

Methods and systems for flexible cloud management with power management support

A cloud management system can determine if the operational state of the virtual machines and / or the computing systems needs to be altered in order to instantiate virtual machines. If the operational state of the computing systems needs to be altered, the cloud management system retrieves an identification of the power management systems supporting the computing systems. The cloud management system can utilize the identification of the power management systems to instruct the power management systems to alter the power state of the computing system in order to instantiate the virtual machines.
Owner:RED HAT

Multiprocessor control apparatus, multiprocessor control method, and multiprocessor control circuit

An object of the invention is to reduce the electric power consumption resulting from temporarily activating a processor requiring a large electric power consumption, out of a plurality of processors. A multiprocessor system (1) includes: a first processor (141) which executes a first instruction code; a second processor (151) which executes a second instruction code, a hypervisor (130) which converts the second instruction code into an instruction code executable by the first processor (141); and a power control circuit (170) which controls the operation of at least one of the first processor (141) and the second processor (151). When the operation of the second processor (151) is suppressed by the power control circuit (170), the hypervisor (130) converts the second instruction code into the instruction code executable by the first processor (141), and the first processor (141) executes the converted instruction code.
Owner:GK BRIDGE 1

Dynamic Checking of Hardware Resources for Virtual Environments

Embodiments that dynamically check availability of hardware resources for applications of virtual environments are contemplated. Various embodiments comprise one or more computing devices having various hardware resources available to applications of a virtual environment. Hardware resources may comprise, for example, amounts of memory, amounts or units of processing capability of one or more processors, and various types of peripheral devices. The embodiments may store hardware data pertaining to a specified amount of hardware recommended or required for an application to execute within the virtual environment. The embodiments may generally monitor for changes to the hardware configuration, which may affect amount of hardware available to the virtual environment and / or application. If the changes to the hardware reduce the amount of available hardware to a point beyond the specified amount of hardware, the embodiments may prevent the application from being executed or prevent the changes to the hardware configuration.
Owner:IBM CORP

Scheduler for processor cores and methods thereof

A data processing device assigns tasks to processor cores in a more distributed fashion. In one embodiment, the data processing device can schedule tasks for execution amongst the processor cores in a pseudo-random fashion. In another embodiment, the processor core can schedule tasks for execution amongst the processor cores based on the relative amount of historical utilization of each processor core. In either case, the effects of bias temperature instability (BTI) resulting from task execution are distributed among the processor cores in a more equal fashion than if tasks are scheduled according to a fixed order. Accordingly, the useful lifetime of the processor unit can be extended.
Owner:MEDIATEK INC

Power optimization via virtualization opportunity

InactiveUS20100115509A1Reduce power consumptionDistributed system energy consumption reductionVolume/mass flow measurementVirtualizationComputer program
Embodiments of the present invention provide a method, system and computer program product for power optimization via virtualization opportunity determination. In an embodiment of the invention, a method for power optimization via virtualization opportunity determination can be provided. The method can include monitoring power utilization in individual server hosts in a cluster and determining a set of the server hosts in the cluster demonstrating low power utilization. The method also can include selecting a subset of server hosts in the set and migrating each VM in non-selected server hosts in the set to the subset of server hosts. Finally, the method can include powering down the non-selected server hosts.
Owner:LENOVO ENTERPRISE SOLUTIONS SINGAPORE

Symmetric multiprocessor operating system for execution on non-independent lightweight thread contexts

ActiveUS20070044105A2Lightweight in of areaLightweight in of powerMultiprogramming arrangementsMemory systemsOperational systemMulti processor
A multiprocessing system is disclosed. The system includes a multithreading microprocessor, including a plurality of thread contexts (TCs), each comprising a first control indicator for controlling whether the TC is exempt from servicing interrupt requests to an exception domain for the plurality of TCs, and a virtual processing element (VPE), comprising the exception domain, configured to receive the interrupt requests, wherein the interrupt requests are non-specific to the plurality of TCs, wherein the VPE is configured to select a non-exempt one of the plurality of TCs to service each of the interrupt requests, the VPE further comprising a second control indicator for controlling whether the VPE is enabled to select one of the plurality of TCs to service the interrupt requests. The system also includes a multiprocessor operating system (OS), configured to initially set the second control indicator to enable the VPE to service the interrupts, and further configured to schedule execution of threads on the plurality of TCs, wherein each of the threads is configured to individually disable itself from servicing the interrupts by setting the first control indicator, rather than by clearing the second control indicator.
Owner:MIPS TECH INC

Load distribution apparatus, load distribution method, and storage medium

A load distribution apparatus includes: a control unit that refers to a load information storage unit that stores load values of a plurality of information processing apparatuses, selects an information processing apparatus with the load value smaller than a predetermined threshold from the plurality of information processing apparatuses, and determines the information processing apparatus with the load value smaller than a predetermined threshold as an allocation destination of processing requests until the load value of the information processing apparatus reaches the predetermined threshold; and a transmitting unit that transmits the processing requests to the allocation destination determined by the control unit.
Owner:FUJITSU LTD

Dynamic resource adjustment for a distributed process on a multi-node computer system

A method dynamically adjusts the resources available to a processing unit of a distributed computer process executing on a multi-node computer system. The resources for the processing unit are adjusted based on the data other processing units handle or the execution path of code in an upstream or downstream processing unit in the distributed process or application.
Owner:IBM CORP

Data Center Optimization and Control

Systems and methods of monitoring, analyzing, optimizing and controlling data centers and data center operations are disclosed. The system includes data collection and storage hardware and software for harvesting operational data from data center assets and operations. Intelligent analysis and optimization software enables identification of optimization and / or control actions. Control software and hardware enables enacting a change in the operational state of data centers.
Owner:BASELAYER TECH

Data center and data center design

According to one embodiment of the present invention, there is provided a data center comprising: a plurality of data center sections, each section having a different predefined level of reliability; and a plurality of sets of applications, each set of applications being populated on one of the plurality of data center sections.
Owner:HEWLETT-PACKARD ENTERPRISE DEV LP

Physical memory capping for use in virtualization

A method of implementing virtualization involves an improved approach to resource management. A virtualizing subsystem is capable of creating separate environments that logically isolate applications from each other. Some of the separate environments share physical resources including physical memory. When a separate environment is configured, properties for the separate environment are defined. Configuring a separate environment may include specifying a physical memory usage cap for the separate environment. A global resource capping background service enforces physical memory caps on any separate environments that have specified physical memory caps.
Owner:SUN MICROSYSTEMS INC

Method of executing an application on a computer system, a resource manager and a high performance computer system

In an HPC system, a Resource Manager deliberately introduces heterogeneities to the execution speeds of some, but not all, of the nodes allocated to an application during the application's execution. These heterogeneities may cause changes to the amount of time spent waiting on coordination points: computation intensive applications will be most affected by these changes, IO bound applications less so. By monitoring wait time reports received from a Communications library, the Manager can discriminate between these two types of applications and suitable power states can be applied to the nodes allocated to the application. If the application is IO bound then nodes can be switched to a lower-power state to save energy. This can be applied at any point during application execution so that the hardware configuration can be adjusted to keep optimal efficiency as the application passes through phases with different energy use and performance characteristics.
Owner:FUJITSU LTD

Thermal management using distributed computing systems

ActiveUS20100313204A1Distributed system energy consumption reductionTemperatue controlRemote computerClient-side
One embodiment provides a computer-implemented method for enforcing a temperature limit of a client computer. The method includes receiving a request for computer-executable work to be executed on a client computer. If executing all of the requested work on the client computer would cause the client computer to exceed the temperature limit, a portion of the requested work may be selectively redirected to a remote computer in an amount selected to enforce the temperature limit of the client computer. Simultaneously, the remainder of the requested work may be executed on the client computer. The output of the redirected work may be communicated from the remote computer back to the client computer over a network.
Owner:LENOVO GLOBAL TECH INT LTD

Mechanism to control hardware multi-threaded priority by system call

A method, a system and a computer program product for controlling the hardware priority of hardware threads in a data processing system. A Thread Priority Control (TPC) utility assigns a primary level and one or more secondary levels of hardware priority to a hardware thread. When a hardware thread initiates execution in the absence of a system call, the TPC utility enables execution based on the primary level. When the hardware thread initiates execution within a system call, the TPC utility dynamically adjusts execution from the primary level to the secondary level associated with the system call. The TPC utility adjusts hardware priority levels in order to: (a) raise the hardware priority of one hardware thread relative to another; (b) reduce energy consumed by the hardware thread; and (c) fulfill requirements of time critical hardware sections.
Owner:IBM CORP

System and method to control heat dissipation through service level analysis

The system and method generally relate to reducing heat dissipated within a data center, and more particularly, to a system and method for reducing heat dissipated within a data center through service level agreement analysis, and resultant reprioritization of jobs to maximize energy efficiency. A computer implemented method includes performing a service level agreement (SLA) analysis for one or more currently processing or scheduled processing jobs of a data center using a processor of a computer device. Additionally, the method includes identifying one or more candidate processing jobs for a schedule modification from amongst the one or more currently processing or scheduled processing jobs using the processor of the computer device. Further, the method includes performing the schedule modification for at least one of the one or more candidate processing jobs using the processor of the computer device.
Owner:KYNDRYL INC

Relay user equipment device and capability discovery method thereof

A relay user equipment (UE) executes a capability discovery method. The relay UE receives a trigger for delivery of a UE capability message. The relay UE reports UE capabilities of the relay UE by transmitting the UE capabilities in the UE capability message in response to the trigger to the request source. The UE capability message may comprise information to address at least network slicing or advanced power saving. For example, the UE capability message may comprise a field for accommodating network controlled power saving capability which reflects whether a power saving state of the relay UE is network controllable.
Owner:CLOUD NETWORK TECH SINGAPORE PTE LTD
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