ACM ASPLOS’10 & Vee’10 Report

   22       装
at 22回仮想化実装技術勉強会(vimpl)
                      (vimpl)
        2010/April/20

...
概要
• Fifteenth International Conference on Architectural Support for
  Programming Languages and Operating Systems (ASPLOS...
プログラム1日目
•   Session 1: Novel Architectures (Session Chair: Luis Ceze)
     – Best Paper! Dynamically Replicated Memory: B...
プログラム2日目 (1/2)
•   Session 5. Software Reliability (Session Chair: Emery Berger)
     – SherLog: Error Diagnosis by Connec...
プログラム2日目 (2/2)
•   Session 7. Data Centers (Session Chair: Scott Mahlke)
     – Power Routing: Dynamic Power Provisioning ...
プログラム3日目
•   Session 10. Parallel Memory Systems (Session Chair: Carl Waldspurger)
     – Specifying and Dynamically Verif...
Dynamically Replicated Memory: Building Reliable
    Systems from Nanoscale Resistive Memories
    Engin Ipek, Jeremy Cond...
Dynamic filtering: multi-purpose architecture support for
                language runtime systems
     Tim Harris, Adrian...
Micro-Pages: Increasing DRAM Efficiency
            with Locality-Aware Data Placement
    Kshitij Sudan, Niladrish Chatte...
Orthrus: Efficient Software Integrity
            Protection on Multi-Cores
   Ruirui Huang, Dan Deng and G. Edward Suh (C...
Virtualized and Flexible ECC for Main Memory
  Doe Hyun Yoon and Mattan Erez (The university of Texas at Austin)

• 通常ECC用...
感想・傾向
• 当然だが、OS&最新ハードやDebugger+最新ハードを絡めた
  ものが採択されている。
• 最新ハードもメモリがらみが多かった。
WIOV 2009
         Second Workshop on I/O Virtualization
•   参加人数 30名程度。全員自己紹介
•   Storage
     – SLIM: Network Decongesti...
Enabling Truly Converged Instrastrucutre
    Keynote by Paul Congdon (HP)
 • 現在進んでいるネットワーク仮想化の規格紹介
   – HyperVisorでI/O仮想化の...
Workshop on Architecting Memory Technologies
•   司会: Shih-Lien Lu, Intel Labs
•   Professor Mattan Erez, University of Tex...
Vee Day1
• Keynote Talk “Transistors to Toys: Teaching Systems to
  Freshmen”
   – Peter M. Chen (University of Michigan)
...
Vee Day2
•   Keynote Talk, “Looking Beyond a Singularity”
     –   Galen C. Hunt (Microsoft Research)
•   Compiler Infrast...
Vee Day3
• Java
   – Efficient Runtime Tracking of Allocation Sites in Java
       • Rei Odaira (IBM Research - Tokyo), Ka...
“Looking Beyond a Singularity”
  Galen C. Hunt (Microsoft Research)
• Singularityの3つのkey
  – Software Isolated Processes (...
Capability Wrangling Made Easy: Debugging on a
               Microkernel with Valgrind
Aaron Pohle (Technische Universitä...
AASH: An Asymmetry-Aware Scheduler for Hypervisors
  Vahid Kazempour , Ali Kamali , Alexandra Fedorova (Simon Fraser Unive...
AASH: An Asymmetry-Aware Scheduler for Hypervisors

 • 実装
   – Xen3.0のCredit Schdulerを改良
   – 4 Core AMD Opteron を2つ(計8コア)...
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ASPLOS10&Vee10 report-suzaki

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ASPLOS10&Vee10 report-suzaki

  1. 1. ACM ASPLOS’10 & Vee’10 Report 22 装 at 22回仮想化実装技術勉強会(vimpl) (vimpl) 2010/April/20 須崎有康
  2. 2. 概要 • Fifteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2010) – March 15-17, 2010 – Pittsburgh, PA – 182Submit (今までの最高)、Accept 32(18%)、Best Paper 3本 • ポスターあり。日本から5件(東大平木研、早稲田中島研2件、九大村上研、九工大光来研) – 参加者400名程度。 – Keynote SpeechはACM InfoSys Foundation Award の Eric Brewer (UCB) • ワークショップ – 2nd WIOV (Workshop I/O Virtualization) – Workshop on Architecting Memory Technologies (これはパネルでした) – 参加していないが Workshop on General-Purpose Computation on Graphics Processing Units • ASPLOS 2011はNewport Beach, California, March 5 ~ 11, 2011 – asplos11.cs.ucr.edu/ – Abstract Deadline: Monday, July 19, 2010 – Full Paper Deadline: Monday, July 26, 2010 (11:59pm EDT)
  3. 3. プログラム1日目 • Session 1: Novel Architectures (Session Chair: Luis Ceze) – Best Paper! Dynamically Replicated Memory: Building Reliable Systems from Nanoscale Resistive Memories • Engin Ipek, Jeremy Condit, Edmund B. Nightingale, Doug Burger and Thomas Moscibroda (University of Rochester / Microsoft Research) – A Power-efficient All-optical On-chip Interconnect Using Wavelength-based Oblivious Routing • Nevin Kirman and Jose Martinez (Cornell University) • Session 2: Compilers and Runtime Systems (Session Chair: Michael Hind) – Best Paper! A Real System Evaluation of Hardware Atomicity for Software Speculation • Naveen Neelakantam, David Ditzel and Craig Zilles (University of Illinois at Urbana-Champaign; Intel) – Dynamic filtering: multi-purpose architecture support for language runtime systems • Tim Harris, Adrian Cristal, Sasa Tomic and Osman Unsal (Microsoft Research) • Session 3: Parallel Programming 1 (Session Chair: Yuanyuan Zhou) – CoreDet: A Compiler and Runtime System for Deterministic Multithreaded Execution • Tom Bergan, Owen Anderson, Joe Devietti, Luis Ceze and Dan Grossman (University of Washington) – Speculative Parallelization Using Software Multi-threaded Transactions, • Arun Raman, Hanjun Kim, Thomas R. Mason, Thomas B. Jablin and David I. August (Princeton University) – Respec: Efficient online multiprocessor replay via speculation and external determinism • Dongyoon Lee, Benjamin Wester, Kaushik Veeraraghavan, Satish Narayanasamy, Peter Chen and Jason Flinn (University of Michigan) • Session 4: Scheduling in Parallel Systems (Session Chair: Tim Harris) – Probabilistic Job Symbiosis Modeling for SMT Processor Scheduling • Stijn Eyerman and Lieven Eeckhout (Ghent University) – Request Behavior Variations • Kai Shen (University of Rochester) – Decoupling contention management from scheduling • Ryan Johnson, Radu Stoica, Anastasia Ailamaki and Todd Mowry (EPFL; Carnegie Mellon University) – Addressing Shared Resource Contention in Multicore Processors Via Scheduling • Sergey Zhuravlev, Sergey Blagodurov and Alexandra Fedorova (Simon Fraser University)
  4. 4. プログラム2日目 (1/2) • Session 5. Software Reliability (Session Chair: Emery Berger) – SherLog: Error Diagnosis by Connecting Clues from Run-time Logs • Ding Yuan, Haohui Mai, Weiwei Xiong, Lin Tan, Yuanyuan Zhou and Shankar Pasupathy (University of California, San Diego; University of Illinois at Urbana-Champaign) – Analyzing Multicore Dumps to Facilitate Concurrency Bug Reproduction • Dasarath Weeratunge, Xiangyu Zhang and Suresh Jagannathan (Purdue University) – A Randomized Scheduler with Probabilistic Guarantees of Finding Bugs • Sebastian Burckhardt, Pravesh Kothari, Madanlal Musuvathi and Santosh Nagarakatte (Microsoft Research) – ConMem: Detecting Severe Concurrency Bugs Through an Effect-Oriented Approach • Wei Zhang, Chong Sun and Shan Lu (University of Wisconsin- Madison) • Session 6. Hardware Power and Energy (Session Chair: David Wood) – Characterizing Processor Thermal Behavior • Francisco J. Mesa-Martínez, Ehsan K. Ardestani and Jose Renau (University of California, Santa Cruz) – Conservation Cores: Reducing the Energy of Mature Computations • Ganesh Venkatesh, John Sampson, Nathan Goulding, Saturnino Garcia, Vladyslav Bryksin, Jose Lugo-Martinez, Steve Swanson and Michael Taylor (University of California, San Diego) – Micro-Pages: Increasing DRAM Efficiency with Locality-Aware Data Placement • Kshitij Sudan, Niladrish Chatterjee, David Nellans, Manu Awasthi, Rajeev Balasubramonian and Al Davis (University of Utah)
  5. 5. プログラム2日目 (2/2) • Session 7. Data Centers (Session Chair: Scott Mahlke) – Power Routing: Dynamic Power Provisioning in the Data Center • Steven Pelley, David Meisner, Pooya Zandevakili, Jack Underwood and Thomas Wenisch (University of Michigan) – Joint Optimization of Idle and Cooling Power in Data Centers While Maintaining Response Time • Faraz Ahmad and T. N. Vijaykumar (Purdue University) • Session 8. Hardware Monitoring (Session Chair: Peter Chen) – Butterfly Analysis: Adapting Dataflow Analysis to Dynamic Parallel Monitoring • Michelle Goodstein, Evangelos Vlachos, Shimin Chen, Phillip Gibbons, Michael Kozuch and Todd Mowry (Carnegie Mellon University; Intel Labs Pittsburgh) – ParaLog: Enabling and Accelerating Online Parallel Monitoring of Multithreaded Applications • Evangelos Vlachos, Michelle Goodstein, Michael Kozuch, Shimin Chen, Babak Falsafi, Phillip Gibbons and Todd Mowry (Carnegie Mellon University; Intel Labs Pittsburgh; EPFL) • Session 9. Parallel Programming 2 (Session Chair: Tim Harris) – MacroSS: Macro-SIMDization of Streaming Applications • Amir Hormati, Yoonseo Choi, Mark Woh, Manjunath Kudlur, Rodric Rabbah, Trevor Mudge and Scott Mahlke (University of Michigan) – COMPASS: A Programmable Data Prefetcher Using Idle GPU Shaders • Dong Hyuk Woo and Hsien-Hsin Lee (Georgia Institute of Technology) – Flexible Architectural Support for Fine-grain Scheduling • Daniel Sanchez, Richard Yoo and Christos Kozyrakis (Stanford University)
  6. 6. プログラム3日目 • Session 10. Parallel Memory Systems (Session Chair: Carl Waldspurger) – Specifying and Dynamically Verifying Address Translation-Aware Memory Consistency • Bogdan Romanescu, Alvin Lebeck and Daniel Sorin (Duke University) – Best Paper! Fairness via Source Throttling: A Configurable and High-Performance Fairness Substrate for Multi-Core Memory Systems • Eiman Ebrahimi, Chang Joo Lee, Onur Mutlu and Yale Patt (The University of Texas at Austin) – An Asymmetric Distributed Shared Memory Model for Heterogeneous Parallel Systems – Isaac Gelado, Javier Cabezas, John Stone, Sanjay Patel, Nacho Navarro and Wen-mei Hwu (University of Illinois at Urbana- Champaign; UPC) – Inter-Core Cooperative TLB Prefetchers for Chip Multiprocessors • Abhishek Bhattacharjee and Margaret Martonosi (Princeton University) • Session 11. Security and Hardware Reliability (Session Chair: Vikram Adve) – Orthrus: Efficient Software Integrity Protection on Multi-Cores • Ruirui Huang, Dan Deng and G. Edward Suh (Cornell University) – Shoestring: Probabilistic Soft-error Resilience on the Cheap • Shuguang Feng, Shantanu Gupta, Amin Ansari and Scott Mahlke (University of Michigan) – Virtualized and Flexible ECC for Main Memory • Doe Hyun Yoon and Mattan Erez (The university of Texas at Austin)
  7. 7. Dynamically Replicated Memory: Building Reliable Systems from Nanoscale Resistive Memories Engin Ipek, Jeremy Condit, Edmund B. Nightingale, Doug Burger and Thomas Moscibroda (University of Rochester / Microsoft Research) • 次期メインメモリであるPCM(Phase Change Memory)の利用法 – 40n scale以下で作成でき高密度だが、一旦壊れると修復できない – 壊れたページ(primary)はbackupページを用意してリカバー – Physical -> Real 変換でPrimary とbackupのマッピングを行う Primary Backup page page Xはdead byte. ここはparity が壊れていることで判断
  8. 8. Dynamic filtering: multi-purpose architecture support for language runtime systems Tim Harris, Adrian Cristal, Sasa Tomic and Osman Unsal (Microsoft Research) • メモリアクセス確認するread/write barrier命令である”dyfl”を追加す ることでGC, Software Transactional Memory, Control&Data Flow Integrity (XFI[OSDI06],WIT[SP08], DFI[OSDI06])を効率化 GCで使われるWrite Barrier dflyを追加したWrite Barrier void writeBarrier(void **addr, void *tgt) { void writeBarrierDyfl(void **addr, void *tgt) { if (inOldGen(addr) && inYoungGen(tgt)) { // T1 if ((!dyfl_card_pair(addr, tgt, 0x1)) && // A1 log(addr); // L1 (!dyfl_addr(addr, 0x2))) { // A2 }} if (inOldGen(addr) && inYoungGen(tgt)) { // T1 dyfl_set_addr(addr, 0x2); // S2 T がtest, Lがlog, Sがset, A がaddress log(addr); // L1 } else { dyfl_set_card_pair(addr, tgt, 0x1); // S1 }}} dyfl(i1, i2, mask, tag) // Test dynamic filter dyfl_set(i1, i2, mask, tag) // Set dynamic filter dyfl_clear(i1, i2, mask, tag) // Clear specific entry dyfl_clear(tag) // Clear all with tag 疑問:hardware break pointと違うのか?
  9. 9. Micro-Pages: Increasing DRAM Efficiency with Locality-Aware Data Placement Kshitij Sudan, Niladrish Chatterjee, David Nellans, Manu Awasthi, Rajeev Balasubramonian and Al Davis (University of Utah) • 動機:MultiCoreにより細かいメモリアクセスになっている。DRAMのRow Buffer 8KBのヒ ット率が低くなっている。下図 64byte cache block • アクセスが多いデータを見つけ、ヒット率が高くなるようにデータを移動する(hardware assist migration) • OSのページサイズを1KBとし、4KB SuperPage(プロセッサのTLBにおけるページ粒度可 変機構)を使う – 参考文献 「2.6 系カーネルに対するLinux Super Page 2.6 Linux Pageの実装と性能評価」 http://shimizu-lab.dt.u-tokai.ac.jp/thesis/master/6adgm007.pdf •Average performance ↑ 9% (max. 18%) •Average memory energy consumption ↓ 18% (max. 62%). •Average row-buffer utilization ↑ 38%
  10. 10. Orthrus: Efficient Software Integrity Protection on Multi-Cores Ruirui Huang, Dan Deng and G. Edward Suh (Cornell University) • 細粒度のメモリレイアウトが異なるレプリカプロセスを作成。 • 2つのプロセスの実行で、メモリアクセスが同一コンテンツ(異なるアドレス)を しているかを検査することでBuffer OverflowやDangling Pointer検出 – Orthrus(オルトロス)はギリシャ神話の双頭の犬。ケルベロスの兄弟。 類似研究: どちらともソースコードを公開している Diehard [PLDI06] http://prisms.cs.umass.edu/emery/ N-variant [USENIX-Security06] http://www.cs.virginia.edu/nvariant/
  11. 11. Virtualized and Flexible ECC for Main Memory Doe Hyun Yoon and Mattan Erez (The university of Texas at Austin) • 通常ECC用にCheck Bitが付加されているが、このcheck bitを 仮想化(Tire1 シンプル, Tire2 ストロング)し、通常のメモリ空間 にマップできるようにする。 – 利点:Bit増加を抑制する。省電力化 • DIMM(DDR2 burst4)の構成に合わせて、 – x4 DDR2 burst 4 の場合、64bit -> 4B T1EC – x8 DDR2 burst 4 の場合、64bit -> 8B T1EC • T2はchipkill correntを採用
  12. 12. 感想・傾向 • 当然だが、OS&最新ハードやDebugger+最新ハードを絡めた ものが採択されている。 • 最新ハードもメモリがらみが多かった。
  13. 13. WIOV 2009 Second Workshop on I/O Virtualization • 参加人数 30名程度。全員自己紹介 • Storage – SLIM: Network Decongestion for Storage Systems • Madalin Mihailescu, Gokul Soundararajan and Cristiana Amza (University of Toronto). – On Disk I/O Scheduling in Virtual Machines • Mukil Kesavan, Ada Gavrilovska and Karsten Schwan (Georgia Institute of Technology). • Networking – Ally: OS-Transparent Packet Inspection Using Sequestered Cores • Jen-Cheng Huang (Georgia Tech), Matteo Monchiero and Yoshio Turner (HP Labs). – A Network Interface Card Architecture for I/O Virtualization in Embedded Systems • Holm Rauchfuss, Thomas Wild and Andreas Herkersdorf (Technische Universitat Munchen). – Architectural support for user-level network interfaces in heavily virtualized systems • Florian Auernhammer and Patricia Sagmeister (IBM Research). • Keynote by Paul Congdon (HP) – Enabling Truly Converged Instrastructure • Power and Performance Bottlenecks – Redesigning Xen's Memory Sharing Mechanism for Safe and Efficient I/O Virtualization • Kaushik Kumar Ram (Rice University), Jose Renato Santos and Yoshio Turner (HP Labs). – Power Aware I/O Virtualization • Kun Tian and Yaozu Dong (Intel). – I/O Virtualization Bottlenecks in Cloud Computing Today • Jeffrey Shafer (Rice University). • HP: http://sysrun.haifa.il.ibm.com/hrl/wiov2010/ – スライドが公開されている
  14. 14. Enabling Truly Converged Instrastrucutre Keynote by Paul Congdon (HP) • 現在進んでいるネットワーク仮想化の規格紹介 – HyperVisorでI/O仮想化のためにCPUの負荷が大きい。 – アダプタ仮想化 • I/Oの仮想化をハードで行う – PCI-SIGで規格化 » SR-IOV :Single Root I/O virtualization – エッジ仮想化 • スイッチの仮想化をハードで行う – IEEE 802.Qbg 802.Qbhで規格化 » VEB: Virtual Ethernet Bridge » VEPA: Virtual Ehternet Port Aggregator • 参考文献 日経コンピュータ 2010/03/31 • ネットワーク仮想化 裏で支えるネットワークの新規格
  15. 15. Workshop on Architecting Memory Technologies • 司会: Shih-Lien Lu, Intel Labs • Professor Mattan Erez, University of Texas at Austin • Professor Bruce Jacob, University of Maryland • Professor Hsien-Hsin Lee, Georgia Tech University • Professor Onur Mutlu, Carnegie Mellon University • Professor Yuan Xie, Pennsylvania State University – HP: http://web.engr.oregonstate.edu/~sllu/asplos2010 スライド公開 • 不揮発RAMへの移行、電力消費の問題、マルチコアの競合による性能低 • コアに対する最適ストレージサイズ – Mattn Erez (Texas Austin) FIT (Failure In Time) は故障率の表記方法として使用されます。そ の単位は10億時間に発生する故障件数で表記されます。例えば、10 億時間に、故障が3件発生したとすると、その故障率(FIT)は3となり ます。一般的な電子部品は、FITが10-100程度となります。故障率の 合計がシステム全体の故障率になるため、部品数が多くなればなる ほど、故障率が上昇します
  16. 16. Vee Day1 • Keynote Talk “Transistors to Toys: Teaching Systems to Freshmen” – Peter M. Chen (University of Michigan) • Debugging and Replay – Capability Wrangling Made Easy: Debugging on a Microkernel with Valgrind • Aaron Pohle (Technische Universität Dresden), Björn Döbel, Michael Roitzsch, Hermann Härtig – Multi-Stage Replay with Crosscut • Jim Chow, Dominic Lucchetti,Tal Garfinkel, Geoffrey Lefebvre,Ryan Gardner,Joshua Mason, Sam Small, Peter M. Chen (University of Michigan) – Optimizing Crash Dump in Virtualized Environments • Yijian Huang (Fudan University), Haibo Chen, Binyu Zang
  17. 17. Vee Day2 • Keynote Talk, “Looking Beyond a Singularity” – Galen C. Hunt (Microsoft Research) • Compiler Infrastructure – Improving Compiler-Runtime Separation with XIR • Ben L. Titzer (Google), Thomas Würthinger, Doug Simon, Marcelo Cintra – VMKit: A Substrate for Managed Runtime Environments • Nicolas Geoffray (Université Pierre et Marie Curie),Gaël Thomas, Julia Lawall , Gilles Muller , Bertil Folliot • Featured Talk “Spice up your browser: NaCl, Pepper, and beyond” – Robert Muth (Google) • Applications of Virtualization – Neon: System Support for Derived Data Management • QiUniversity of California, San Diego), John McCullough, Justin Ma, Nabil Schear, Michael Vrable (University of California, San Diego), Amin Vahdat, Alex C. Snoeren, Geoffrey M. Voelker, Stefan Savage – Energy-Efficient Storage in Virtual Machine ng Zhang (Environments • Lei Ye (University of Arizona), Gen Lu, Sushanth Kumar, Chris Gniady, John H. Hartman • Hypervisor Scheduling – AASH: An Asymmetry-Aware Scheduler for Hypervisors • Vahid Kazempour , Ali Kamali , Alexandra Fedorova (Simon Fraser University) – Supporting Soft Real-Time Tasks in the Xen Hypervisor • Min Lee (Georgia Institute of Technology), A. S. Krishnakumar (Avaya Laboratories), P. Krishnan , Navjot Singh, Shalini Yajnik
  18. 18. Vee Day3 • Java – Efficient Runtime Tracking of Allocation Sites in Java • Rei Odaira (IBM Research - Tokyo), Kazunori Ogata, Kiyokuni Kawachiya, Tamiya Onodera (IBM Research - Tokyo), Toshio Nakatani – Evaluation of a Just-In-Time Compiler Retrofitted for PHP • Michiaki Tatsubori (IBM Research - Tokyo), Akihiko Tozawa, Toyotaro Suzumura, Scott Trent, Tamiya Onodera, – Novel Online Profiling for Virtual Machines • Manjiri A. Namjoshi (University of Kansas), Prasad A. Kulkarni • Dynamic Binary Translation – DBT Path Selection for Holistic Memory Efficiency and Performance • Apala Guha (University of Virginia), Kim Hazelwood, Mary Lou Soffa – Dynamic Binary Translation Specialized for Embedded Systems • Goh Kondoh (IBM Research - Tokyo), Hideaki Komatsu
  19. 19. “Looking Beyond a Singularity” Galen C. Hunt (Microsoft Research) • Singularityの3つのkey – Software Isolated Processes (SIP) – Contract-Based Channels – Manifest-Based Programs • Singularityの後継プロジェクト – Menlo 認知されないモバイルデバイス – Drawbridge サンドボックス – SafeOS アッセンブリを検証 – BTL 静的解析と動的解析の融合
  20. 20. Capability Wrangling Made Easy: Debugging on a Microkernel with Valgrind Aaron Pohle (Technische Universität Dresden), Björn Döbel, Michael Roitzsch, Hermann Härtig • L4系マイクロカーネル Fiasco.OCにValgrindを移植する方法 • メモリ管理が異なるので整合性を取る仕組みが必要 – Valgrind ではapplication(Client)のメモリ空間をValgirndが可能。OSの インターフェースはPOSIX – Fiasco.OCではCapabilityベース Fiasco.OCではCapability ス • Valgrindを使ったCapCheckによりCapabilityの移譲を検査で きるようになった
  21. 21. AASH: An Asymmetry-Aware Scheduler for Hypervisors Vahid Kazempour , Ali Kamali , Alexandra Fedorova (Simon Fraser University) • 非対称マルチコア(同一ISA。Fast CoreとSlow Coreの 2種類)に対するHypervisorのスケジューラの提案 – 基本: • Fast Coreは公平に割り当てる • ゲスト内の構成は認識する – Fast CoreのスレッドスケジュールはOSの仕事 ゲスト内認識 • Fast Core割り当てのプライオリティあり – Fast Coreが空いている場合にはSlow Coreより優先して割り 当てる – MSR (Model Specification Register)を使ってゲストOSに Coreの変更を伝えることは今後の課題
  22. 22. AASH: An Asymmetry-Aware Scheduler for Hypervisors • 実装 – Xen3.0のCredit Schdulerを改良 – 4 Core AMD Opteron を2つ(計8コア) • Fast Core 2GHz 1個、Slow Core 1GHz 7個 • DVFS(Dynamic Voltage and Frequency Scaling)で設定? • 評価 – Xenオリジナルなスケジューラより、36%良い結果 がでた。

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