EP2553573A2 - Feinkörniges leistungsressourcenmanagement von computersystemen - Google Patents
Feinkörniges leistungsressourcenmanagement von computersystemenInfo
- 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- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
- G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
- G06F1/3228—Monitoring task completion, e.g. by use of idle timers, stop commands or wait commands
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
- G06F1/3234—Power saving characterised by the action undertaken
- G06F1/324—Power saving characterised by the action undertaken by lowering clock frequency
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
- G06F1/3234—Power saving characterised by the action undertaken
- G06F1/329—Power saving characterised by the action undertaken by task scheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording 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
- G06F11/3409—Recording 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording 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
- G06F11/3409—Recording 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
- G06F11/3419—Recording 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording 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
- G06F11/3466—Performance evaluation by tracing or monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5011—Allocation 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5094—Allocation of resources, e.g. of the central processing unit [CPU] where the allocation takes into account power or heat criteria
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
- G06F2201/865—Monitoring of software
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/50—Indexing scheme relating to G06F9/50
- G06F2209/501—Performance criteria
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/50—Indexing scheme relating to G06F9/50
- G06F2209/507—Low-level
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy 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)
- Hardware Redundancy (AREA)
- Power Sources (AREA)
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) |
Families Citing this family (33)
Publication number | Priority date | Publication date | Assignee | Title |
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US9558351B2 (en) | 2012-05-22 | 2017-01-31 | Xockets, Inc. | Processing structured and unstructured data using offload processors |
WO2013177316A2 (en) | 2012-05-22 | 2013-11-28 | Xockets IP, LLC | Efficient packet handling, redirection, and inspection using offload processors |
US8830716B2 (en) * | 2012-09-29 | 2014-09-09 | Intel Corporation | Intelligent far memory bandwith scaling |
JP6042170B2 (ja) * | 2012-10-19 | 2016-12-14 | ルネサスエレクトロニクス株式会社 | キャッシュ制御装置及びキャッシュ制御方法 |
US20140201416A1 (en) | 2013-01-17 | 2014-07-17 | Xockets IP, LLC | Offload processor modules for connection to system memory, and corresponding methods and systems |
US9378161B1 (en) | 2013-01-17 | 2016-06-28 | Xockets, Inc. | Full bandwidth packet handling with server systems including offload processors |
US10353765B2 (en) | 2013-03-08 | 2019-07-16 | Insyde Software Corp. | Method and device to perform event thresholding in a firmware environment utilizing a scalable sliding time-window |
KR101587579B1 (ko) * | 2014-02-19 | 2016-01-22 | 한국과학기술원 | 가상화 시스템에서 메모리 조정방법 |
WO2015145598A1 (ja) * | 2014-03-26 | 2015-10-01 | 株式会社 日立製作所 | 並列演算処理システムのデータ配分装置、データ配分方法、及びデータ配分プログラム |
CN103929769B (zh) * | 2014-05-04 | 2017-02-15 | 中国科学院微电子研究所 | 一种应用于无线通信系统仿真的调度方法及系统 |
CN105357097A (zh) * | 2014-08-19 | 2016-02-24 | 中兴通讯股份有限公司 | 虚拟网络的调节方法及系统 |
WO2016097806A1 (en) * | 2014-12-14 | 2016-06-23 | Via Alliance Semiconductor Co., Ltd. | Fully associative cache memory budgeted by memory access type |
US10157081B2 (en) * | 2015-11-13 | 2018-12-18 | Telefonaktiebolaget Lm Ericsson (Publ) | Trainer of many core systems for adaptive resource control |
CN107291370B (zh) * | 2016-03-30 | 2021-06-04 | 杭州海康威视数字技术股份有限公司 | 一种云存储系统调度方法和装置 |
CN106126336B (zh) | 2016-06-17 | 2019-06-04 | 上海兆芯集成电路有限公司 | 处理器以及调度方法 |
US10146583B2 (en) * | 2016-08-11 | 2018-12-04 | Samsung Electronics Co., Ltd. | System and method for dynamically managing compute and I/O resources in data processing systems |
CN107547270A (zh) * | 2017-08-14 | 2018-01-05 | 天脉聚源(北京)科技有限公司 | 一种智能分配任务分片的方法及装置 |
CN107463357B (zh) * | 2017-08-22 | 2024-03-12 | 中车青岛四方车辆研究所有限公司 | 任务调度系统、调度方法、制动仿真系统及仿真方法 |
KR101958112B1 (ko) * | 2017-09-29 | 2019-07-04 | 건국대학교 산학협력단 | 태스크 스케줄링 장치 및 태스크 스케줄링 방법 |
CN108897619B (zh) * | 2018-06-27 | 2020-05-05 | 国家超级计算天津中心 | 一种用于超级计算机的多层级资源柔性配置方法 |
CN110852965A (zh) * | 2019-10-31 | 2020-02-28 | 湖北大学 | 一种基于生成对抗网络的视频光照增强方法及系统 |
CN112965885B (zh) * | 2019-12-12 | 2024-03-01 | 中科寒武纪科技股份有限公司 | 访存带宽的检测方法、装置、计算机设备及可读存储介质 |
CN110874272A (zh) * | 2020-01-16 | 2020-03-10 | 北京懿医云科技有限公司 | 资源配置方法及装置、计算机可读存储介质、电子设备 |
JP2023507238A (ja) | 2020-02-28 | 2023-02-21 | スリーエム イノベイティブ プロパティズ カンパニー | データストレージ及び処理能力管理のための深層因果学習 |
WO2021171156A1 (en) * | 2020-02-28 | 2021-09-02 | 3M Innovative Properties Company | Deep causal learning for advanced model predictive control |
CN111506402B (zh) * | 2020-03-31 | 2023-06-27 | 上海氪信信息技术有限公司 | 面向机器学习建模的计算机任务调度方法、装置、设备及介质 |
CN114724233A (zh) * | 2020-12-21 | 2022-07-08 | 青岛海尔多媒体有限公司 | 用于终端设备姿势控制的方法及装置、终端设备 |
CN112559440B (zh) * | 2020-12-30 | 2022-11-25 | 海光信息技术股份有限公司 | 多小芯片系统中实现串行业务性能优化的方法及装置 |
US11543877B2 (en) * | 2021-03-31 | 2023-01-03 | Advanced Micro Devices, Inc. | Low power state selection based on idle duration history |
CN112925633A (zh) * | 2021-05-12 | 2021-06-08 | 浙江华创视讯科技有限公司 | 嵌入式的任务调度方法、装置、电子设备及存储介质 |
CN113589916A (zh) * | 2021-07-29 | 2021-11-02 | 维沃移动通信有限公司 | 内存的控制方法和装置 |
KR20230119832A (ko) * | 2022-02-08 | 2023-08-16 | 삼성전자주식회사 | 태스크에 메모리 자원을 할당하는 전자 장치 및 전자 장치의 동작 방법 |
CN117348715A (zh) * | 2022-06-28 | 2024-01-05 | 华为技术有限公司 | 节能管理方法、装置、计算设备及计算机可读存储介质 |
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US20090055829A1 (en) * | 2007-08-24 | 2009-02-26 | Gibson Gary A | Method and apparatus for fine grain performance management of computer systems |
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-
2011
- 2011-03-25 EP EP11760356.3A patent/EP2553573A4/de not_active Withdrawn
- 2011-03-25 KR KR1020127027941A patent/KR20130081213A/ko not_active Application Discontinuation
- 2011-03-25 CN CN2011800254093A patent/CN102906696A/zh active Pending
- 2011-03-25 JP JP2013501534A patent/JP2013527516A/ja active Pending
- 2011-03-25 WO PCT/US2011/030096 patent/WO2011120019A2/en active Application Filing
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PADMANABHAN PILLAI ET AL: "Real-time dynamic voltage scaling for low-power embedded operating systems", PROCEEDINGS OF THE EIGHTEENTH ACM SYMPOSIUM ON OPERATING SYSTEMS PRINCIPLES , SOSP '01, 1 January 2001 (2001-01-01), page 89, XP55058610, New York, New York, USA DOI: 10.1145/502034.502044 ISBN: 978-1-58-113389-9 * |
See also references of WO2011120019A2 * |
Also Published As
Publication number | Publication date |
---|---|
EP2553573A4 (de) | 2014-02-19 |
WO2011120019A2 (en) | 2011-09-29 |
CN102906696A (zh) | 2013-01-30 |
KR20130081213A (ko) | 2013-07-16 |
JP2013527516A (ja) | 2013-06-27 |
WO2011120019A3 (en) | 2012-01-26 |
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