EP2553573A2 - Feinkörniges leistungsressourcenmanagement von computersystemen - Google Patents

Feinkörniges leistungsressourcenmanagement von computersystemen

Info

Publication number
EP2553573A2
EP2553573A2 EP11760356A EP11760356A EP2553573A2 EP 2553573 A2 EP2553573 A2 EP 2553573A2 EP 11760356 A EP11760356 A EP 11760356A EP 11760356 A EP11760356 A EP 11760356A EP 2553573 A2 EP2553573 A2 EP 2553573A2
Authority
EP
European Patent Office
Prior art keywords
task
rate
processor
clock
performance
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP11760356A
Other languages
English (en)
French (fr)
Other versions
EP2553573A4 (de
Inventor
Gary Allen Gibson
Valeri Popescu
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
VirtualMetrix Inc
Original Assignee
VirtualMetrix Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by VirtualMetrix Inc filed Critical VirtualMetrix Inc
Publication of EP2553573A2 publication Critical patent/EP2553573A2/de
Publication of EP2553573A4 publication Critical patent/EP2553573A4/de
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26Power supply means, e.g. regulation thereof
    • G06F1/32Means for saving power
    • G06F1/3203Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3206Monitoring of events, devices or parameters that trigger a change in power modality
    • G06F1/3228Monitoring task completion, e.g. by use of idle timers, stop commands or wait commands
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26Power supply means, e.g. regulation thereof
    • G06F1/32Means for saving power
    • G06F1/3203Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3234Power saving characterised by the action undertaken
    • G06F1/324Power saving characterised by the action undertaken by lowering clock frequency
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26Power supply means, e.g. regulation thereof
    • G06F1/32Means for saving power
    • G06F1/3203Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3234Power saving characterised by the action undertaken
    • G06F1/329Power saving characterised by the action undertaken by task scheduling
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3409Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3409Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
    • G06F11/3419Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment by assessing time
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3466Performance evaluation by tracing or monitoring
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5011Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5094Allocation of resources, e.g. of the central processing unit [CPU] where the allocation takes into account power or heat criteria
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2201/00Indexing scheme relating to error detection, to error correction, and to monitoring
    • G06F2201/865Monitoring of software
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00Indexing scheme relating to G06F9/00
    • G06F2209/50Indexing scheme relating to G06F9/50
    • G06F2209/501Performance criteria
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00Indexing scheme relating to G06F9/00
    • G06F2209/50Indexing scheme relating to G06F9/50
    • G06F2209/507Low-level
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Definitions

  • a processor clock demand rate required by each task can be determined. Based on such determinations, an aggregate clock demand rate based on the determined processor clock demand rate for all tasks can be computed. In response, the processor system clock rate can be adjusted to accommodate the aggregate clock demand rate. In some cases, the processor system clock rate can be adjusted to the aggregate clock demand rate plus an overhead demand rate.
  • the processor clock demand rate can be calculated as a product of a current processor system clock rate with expected execution time for completion of the task divided by a time interval.
  • the processor clock demand rate for each task can be updated based on errors affecting performance of the task and, as a result, the aggregate clock demand rate can be updated based on the updated processor clock demand rate for each task.
  • a task may be referred to as a set of instruction to be executed by the processor system 10.
  • the term task can be interpreted to include a group of tasks (unless otherwise stated).
  • a task can also comprise processes such as instances of computer programs that are being executed, threads of execution such as one or more simultaneously, or pseudo-simultaneously, executing instances of a computer program closely sharing resources, etc. that execute within one or more processor systems 10 (e.g., microprocessors) or virtual machines such as virtual execution environments on one or more processors.
  • a virtual machine (VM) is a software implementation of a machine (computer) that executes programs like a real machine.
  • the tasks can be state machines such as image processors, cryptographic processors and the like.
  • the management module 106 can be part of the computer system coupled to the processing module (for example, a program residing in the system memory 150).
  • the management module 106 can create, and/or retrieve previously created performance profiles from system memory 150 or from storage devices such as hard disk drives, non-volatile memory, etc., and assign task performance profiles that specify task performance parameters to tasks directly or through their task context (a set of data containing the information needed to manage a particular task).
  • the management module 106 can control the allocation of resources by
  • the I/O subsystem module 108 can be part of the computer system coupled to the processing module (for example, a program residing in the system memory 150).
  • the I/O subsystem module 108 can control, and/or enable, and/or provide the means for the communication between the processing system, and the outside world possibly a human, storage devices, or another processing system.
  • Inputs are the signals or data received by the system, and outputs are the signals or data sent from it.
  • Storage can be used to store information for later retrieval; examples of storage devices include hard disk drives and non-volatile semiconductor memory. Devices for communication between computer systems, such as modems and network cards, typically serve for both input and output.
  • Performance profiles can be assigned to groups of tasks similar to the performance profile for an individual task.
  • tasks that are members of a group share a common performance profile and the performance resource parameters can be derived from that common profile.
  • a subset of the performance parameters can be part of a group performance profile while others are part of individual task performance profile.
  • a task profile can include expect work parameters while the task is a member of a group that shares I/O bandwidth and cache occupancy performance parameters.
  • a multiplicity of groups can exist where tasks are members of one or more groups that specify both common and separate performance profile parameters where the parameters utilized by the performance resource manager are derived from the various performance profiles (through a set of policies/rules)
  • a task's demand rate can be added to the aggregate demand rate when the task becomes ready-to-run which may be determined by the scheduler module 130 (e.g., based on scheduling or other events such as becoming unblocked on I/O operations, etc.) or other subsystems such as the I/O subsystem.
  • This demand rate can initially be specified by, or calculated from, the tasks performance profile and can be updated based, for example, on the task's work completion progress over time, updated through a rate adaption function as a function of progress error, and the like.
  • the performance profile can contain one or more task state dependent performance parameters. In such cases, the task demand rate can be updated when these parameters change due to task state, or system state, change and can be further updated while the task is executing on the processor system through rate error adaptation (using the progress error and/or progress limit error in the computation of performance profile parameters).
  • the requested rate can be adapted to be higher than the calculated aggregate demand rate to bias placing the processing system in idle state.
  • the computation of the occupancy quota can be made such that that the occupancy quota can be increased when a task is below its expected work rate or the cache miss rate is above a certain threshold; conversely, the occupancy quota can be reduced when the task is exceeding its expected work or the cache miss rate is below a certain threshold.
  • This computation can also take progress limiting error values into account, for example, by detecting that the progress is being limited by another factor other than occupancy.
  • a multiplicity of caches and/or buffer subsystems can exist and thus there can be several occupancy quota parameters utilized and stored in the task's performance profile.
  • These caches and buffers can be embodied in hardware or software (firmware) or a combination of both.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Debugging And Monitoring (AREA)
  • Power Sources (AREA)
  • Hardware Redundancy (AREA)
EP11760356.3A 2010-03-26 2011-03-25 Feinkörniges leistungsressourcenmanagement von computersystemen Withdrawn EP2553573A4 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US34106910P 2010-03-26 2010-03-26
US34117010P 2010-03-26 2010-03-26
PCT/US2011/030096 WO2011120019A2 (en) 2010-03-26 2011-03-25 Fine grain performance resource management of computer systems

Publications (2)

Publication Number Publication Date
EP2553573A2 true EP2553573A2 (de) 2013-02-06
EP2553573A4 EP2553573A4 (de) 2014-02-19

Family

ID=44673905

Family Applications (1)

Application Number Title Priority Date Filing Date
EP11760356.3A Withdrawn EP2553573A4 (de) 2010-03-26 2011-03-25 Feinkörniges leistungsressourcenmanagement von computersystemen

Country Status (5)

Country Link
EP (1) EP2553573A4 (de)
JP (1) JP2013527516A (de)
KR (1) KR20130081213A (de)
CN (1) CN102906696A (de)
WO (1) WO2011120019A2 (de)

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Also Published As

Publication number Publication date
JP2013527516A (ja) 2013-06-27
CN102906696A (zh) 2013-01-30
WO2011120019A2 (en) 2011-09-29
WO2011120019A3 (en) 2012-01-26
EP2553573A4 (de) 2014-02-19
KR20130081213A (ko) 2013-07-16

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