Application-aware energy governing of mobile processors

최용훈 2020년
논문상세정보
' Application-aware energy governing of mobile processors' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Mobile device
  • energy efficiency enhancement
  • heterogeneous computing
  • 모바일 기기
  • 에너지효율개선
  • 이기종 컴퓨팅
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
88 0

0.0%

' Application-aware energy governing of mobile processors' 의 참고문헌

  • [99] Zhu, Y. and Reddi, V. J. Greenweb: Language Extensions for EnergyEfficient Mobile Web Computing. In Proceedings of SIGPLAN Conference on Programming Language Design and Implementation (PLDI) (Santa Barbara, USA, 2016), pages 145-160,
  • [90] Why You Should (and Shouldn't) Port Your Mobile Game to the Switch. https://www.gamesindustry.biz/articles/2018-03-13-why-you-should-andshouldnt-port-your-mobile-game-to-the-switch
  • [88] Utilization Clamping. https://linuxplumbersconf.org/event/2/contributions/12 8/attachments/112/143/LPC18_UtilClamp_v5.pdf
  • [87] User-Centric Performance Metrics. https://developers.google.com/web/funda mentals/performance/user-centric-performance-metrics
  • [86] Update on Big.Little Scheduling Experiments. https://blog.linuxplumberscon f.org/2012/wp-content/uploads/2012/09/2012-lpc-scheduler-task-placementrasmussen.pdf
  • [84] There's an App for That...The Browser. https://mgstn.ly/1O7KlYW
  • [83] Telemetry. https://chromium.googlesource.com/external/github.com/catapultproject/catapult/+/HEAD/telemetry/README.md
  • [81] Surfaceflinger and Hardware Composer. https://source.android.com/devices/g raphics/arch-sf-hwc136
  • [78] Speed Index. https://sites.google.com/a/webpagetest.org/docs/using-webpage test/metrics/speed-index
  • [77] Snapdragon Heterogeneous Compute Sdk. https://developer.qualcomm.com/s oftware/heterogeneous-compute-sdk
  • [76] Shrestha, S. Mobile Web Browsing: Usability Study. In Proceedings of Mobility (Singapore, 2007), pages 187-194, ACM.
  • [73] Scheduling for Android Devices. https://lwn.net/Articles/706374/
  • [72] Samsung Experience. https://en.wikipedia.org/wiki/Samsung_Experience
  • [71] Samsung Dex. https://www.samsung.com/global/galaxy/apps/samsung-dex/
  • [69] Rolling Sky. https://play.google.com/store/apps/details?id=com.turbochilli.rol lingsky
  • [67] Ren, J., Wang, X., Fang, J., Feng, Y., Zhu, D., Luo, Z., Zheng, J. and Wang, Z. Proteus: Network-Aware Web Browsing on Heterogeneous Mobile Systems. In Proceedings of International Conference on emerging Networking EXperiments and Technologies (CoNEXT) (Heraklion, Greece, 2018), pages 379-392, ACM.
  • [64] Picture-in-Picture Support. https://developer.android.com/guide/topics/ui/pict ure-in-picture.
  • [63] Peters, N., Park, S.,Clifford, D., Kyostila, S., McIlroy, R., Meurer, B., Payer, H. andChakraborty, S. Phase-Aware Web Browser Power Management on Hmp Platforms. In Proceedings of InternationalConference on Supercomputing (ICS) (Beijing,China, 2018), pages,
    Beijing , China [2018]
  • [5] Arm Dynamiq. https://developer.arm.com/technologies/dynamiq.
  • [58] Navigation Timing. https://www.w3.org/TR/navigation-timing/
  • [56] Multiprocess Firefox. https://developer.mozilla.org/en-US/docs/Mozilla/Firef ox/Multiprocess_Firefox
  • [55] Most Popular Google Play App Store Categories from 1st Quarter 2016 to 2nd Quarter 2019. https://www.statista.com/statistics/256772/most-popular-ap p-categories-in-the-google-play-store/
  • [54] Monsoon Power Monitor. https://www.msoon.com/online-store/High-Voltage -Power-Monitor-HVPM-p90002590
  • [52] Linux Cgroups. https://www.kernel.org/doc/Documentation/cgroup-v1/cgrou ps.txt
  • [51] Kaios. https://www.kaiostech.com/
  • [4] Arm Big.Little. https://developer.arm.com/technologies/big-little.
  • [47] Iron Blade. https://play.google.com/store/apps/details?id=com.gameloft.andr oid.ANMP.GloftHFHM
  • [46] Huawei Launches New Distributed Operating System, Harmonyos. http://consumer.huawei.com/en/press/news/2019/huawei-launches-harmonyos
  • [44] Hsu, C.-H. and Kremer, U. The Design, Implementation, and Evaluation of a Compiler Algorithm for Cpu Energy Reduction. In Proceedings of SIGPLAN Conference on Programming Language Design and Implementation (PLDI) (New York, USA, 2003), pages 38-48, ACM.
  • [3] Android Systrace. https://developer.android.com/studio/command-line/systrace .html
  • [37] Gpu Programming: Unified Memory Models and More. https://homepages.dcc.ufmg.br/~sylvain.collange/gpucourse/gpu_ufmg_2015_ 6.pdf
  • [34] Exynos 9820: Delivering Groundbreaking Features on the Galaxy S10. https://www.samsung.com/semiconductor/newsroom/tech-leadership/exynos9820-delivering-groundbreaking-features-on-the-galaxy-s10/
  • [33] Energy Aware Scheduling Patchwork. https://lore.kernel.org/patchwork/cover /1020432/
  • [32] Energy-Aware Scheduling. https://developer.arm.com/open-source/energy-aw are-scheduling
  • [31] Eas Overview and Integration Guide. https://developer.arm.com/-/media/deve loper/developers/open-source/energy-aware-scheduling/eas_overview_and_int egration_guide_r1p3.pdf
  • [30] Eas Energy Model: Structure and Representation. http://retis.santannapisa.it/~ luca/ospm-summit/2017/Downloads/EAS_em_mainline_dts.odp.pdf
  • [2] Android Cpu-Freq Governor. https://goo.gl/36C6pz
  • [22] Deer HunterClassic. https://play.google.com/store/apps/details?id=com.glu.d eerhunt2
  • [18] Chromium Multi-Process Architecture. https://www.chromium.org/developer s/design-documents/multi-process-architecture
  • [11] Catapult. https://chromium.googlesource.com/catapult
  • Z. Optimise Web Browsing on Heterogeneous Mobile Platforms : A Machine Learning Based Approach
    pages 1-9 , IEEE [2017]
  • Y.-W. Energy Efficient Job Scheduling with Dvfs for Cpu-Gpu Heterogeneous Systems
    pages 1-11 , ACM [2017]
  • Y. C. Gfxdoctor : A Holistic Graphics Energy Profiler for Mobile Devices
  • Y. ApplicationSpecific Performance-Aware Energy Optimization on Android Mobile Devices
    HPCA ) ( Austin , USA [2017]
  • X. Texture-Directed Mobile Gpu Power Management for Closed-Source Games
    pages 348-354 , IEEE [2014]
  • X. Behavior-Aware Integrated Cpu-Gpu Power Management for Mobile Games
    pages 439-444 , IEEE [2016]
  • W. T. Games Are up for Dvfs
    pages 598-603 , ACM [2006]
  • V. J. Event-Based Scheduling for EnergyEfficient Qos ( Eqos ) in Mobile Web Applications
    pages 137-149 , IEEE [2015]
  • Toward Energy-Aware Balancing of Mobile Graphics
    pages 10 , SPIE [2015]
  • T. Power-Performance Modelling of Mobile Gaming Workloads on Heterogeneous Mpsocs
    pages 1-6 , ACM [2015]
  • T. Integrated Cpu-Gpu Power Management for 3d Mobile Games
    San Francisco , USA [2014]
  • Synergistic Cpu-Gpu Frequency Capping for Energy-Efficient Mobile Games
    17 , 2 , 45 [2018]
  • Support vector machines for classification and regression
    14 , 1 , 5-16 [1998]
  • S. W. An Energy-Efficient Task Scheduler for Mobile Web Browsing
  • S. Scheduling for ReducedCpu Energy
    pages 2 , USENIX Association [1994]
  • S. Power Management of Interactive 3d Games Using Frame Structures
    pages 679-684 , IEEE [2008]
  • S. Power Management Using Game State Detection on Android Smartphones
    pages 493-494 , ACM [2013]
  • S. Estimating the Limits ofCpu Power Management for Mobile Games
    pages 1-8 , IEEE [2017]
  • S. Energy Efficient Scheduling for Web Search on Heterogeneous Microservers
  • S. A Scheduling Model for ReducedCpu Energy
    pages 374-382 , IEEE [1995]
  • Revisited : Why and How You Should ( Still ) Use Dbscan
    42 , 3 , 19 [2017]
  • Reinforcement learning : An introduction
    [2018]
  • Regression and Linear Models
    [1990]
  • R. Smartphone Energy Drain in the Wild : Analysis and Implications
    pages 151 ? 164 , ACM [2015]
  • R. B. Mibench : A Free ,Commercially Representative Embedded Benchmark Suite
  • Quality of Service-Aware Dynamic Voltage and Frequency Scaling for Embedded Gpus .
    14 , 1 , 66-69 [2015]
  • Provisioning of Power Event Apis as a Mobile Os Facility
    71 , 88-101 [2016]
  • Power Sandbox : Power Awareness Redefined
    pages 37 , ACM [2018]
  • P. V. A Control-Theoretic Approach for Energy Efficient Cpu-Gpu Subsystem in Mobile Platforms
    pages 1-6 , IEEE [2015]
  • P. An Adaptive on-Line Cpu-Gpu Governor for Games on Mobile Devices
    pages 653-658. , IEEE [2017]
  • Multi-Variable Dynamic Power Management for the Gpu Subsystem
    pages 1-6 , ACM [2017]
  • Methodology for the subjective assessment of the quality of television pictures.
    https : //www.itu.int/rec/R-REC-BT.500-13-201201-I/en
  • M. Power-Aware Scheduling and Dynamic Voltage Setting for Tasks Running on a Hard Real-Time System
    pages 6 , IEEE [2006]
  • M. Compiler-Directed Dynamic Voltage/Frequency Scheduling for Energy Reduction in Microprocessors
    pages 275-278 , ACM [2001]
  • Low-Power Digital Vlsi Design : Circuits and Systems
    [2012]
  • Lightweight Graphics Instrumentation for Game State-Specific Power Management in Android .
    20 , 5 , 563-578 [2014]
  • L. Power-Saving Color Transformation of Mobile Graphical User Interfaces on Oled-Based Displays
    pages 339 ? 342 , ACM [2009]
  • L. Chameleon : A Color-Adaptive Web Browser for Mobile Oled Displays
    pages 85 ? 98 [2011]
  • K. Energy-Efficient Soft Real-Time Cpu Scheduling for Mobile Multimedia Systems
    pages 149-163 , ACM [2003]
  • J. P. Who Killed My Battery ? : Analyzing Mobile Browser Energy Consumption
    pages 41- 50 , ACM [2012]
  • Introduction to algorithms .
    [2009]
  • High-Performance and Energy-Efficient Mobile Web Browsing on Big/Little Systems
    pages 13-24 , IEEE [2013]
  • H. Tbooster : Adaptive Touch Boosting for Mobile Texting
    pages 63-68 , ACM [2016]
  • H. Optimizing Energy Efficiency of Browsers in Energy-Aware Scheduling-Enabled Mobile Devices
    pages 1-16 , ACM [2019]
  • H. Graphics-Aware Power Governing for Mobile Devices
    pages 469-481 , ACM [2019]
  • H. Appscope : Application Energy Metering Framework for Android Smartphone Using Kernel Activity Monitoring
    pages 387-400 , USENIX Association [2012]
  • Game Engine Architecture
    [2014]
  • G. Energy-Efficient Computation Offloading for Multicore-Based Mobile Devices
    pages , IEEE [2018]
  • F. Rethinking EnergyPerformance Trade-Off in Mobile Web Page Loading
    pages 14-26 , ACM [2015]
  • Energy-Aware Web Browsing on Smartphones .
    26 , 3 , 761-774 [2015]
  • Dynamic Programming
    [2013]
  • Dora : Optimizing Smartphone Energy Efficiency and Web Browser Performance under Interference
    pages 64-75 , IEEE [2018]
  • Deep learning
    [2016]
  • D. Web Browser Workload Characterization for Power Management on Hmp Platforms
    pages 1-10 , IEEE [2016]
  • Control Chart Tests Based on Geometric Moving Averages
    1 , 3 , 239-250 , [1959]
  • Adaptive Control Processes : A Guided Tour
    [2015]
  • Accurate Power Modeling of Modern Mobile Application Processors
    81 , 17-31 [2017]
  • A. L. , Chan , M. C. and Balan , R. K. Adaptive Display
    USA , 2011 ) , pages
  • A User-Centric Cpu-Gpu Governing Framework for 3d Mobile Games
    961 - 974 [2018]