Is Parallel Programming Hard, And, If So, What Can You Do About It?

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342 BIBLIOGRAPHYtor. Software – Practice and Experience,31(3):235–257, March 2001.[MSM05] Timothy G. Mattson, Beverly A.Sanders, and Berna L. Massingill. Patternsfor Parallel Programming. AddisonWesley, Boston, MA, USA, 2005.[MSMB06] Paul E. McKenney, Dipankar Sarma,Ingo Molnar, and Suparna Bhattacharya.Extending RCU for realtimeand embedded workloads. In OttawaLinux Symposium, pages v2 123–138,July 2006. Available: http://www.linuxsymposium.org/2006/view_abstract.php?content_key=184http://www.rdrop.com/users/paulmck/RCU/OLSrtRCU.2006.08.11a.pdf [Viewed January 1, 2007].[MSS04][MT01][Mus04][MW07]Paul E. McKenney, Dipankar Sarma,and Maneesh Soni. Scaling dcachewith RCU. Linux Journal, 1(118):38–46, January 2004. Available: http://www.linuxjournal.com/node/7124[Viewed December 26, 2010].Jose F. Martinez and Josep Torrellas.Speculative locks for concurrentexecution of critical sections inshared-memory multiprocessors. InWorkshop on Memory PerformanceIssues, International Symposiumon Computer Architecture, Gothenburg,Sweden, June 2001. Available:http://iacoma.cs.uiuc.edu/iacoma-papers/wmpi_locks.pdf[Viewed June 23, 2004].Museum Victoria Australia. CSIRAC:Australia’s first computer. Available:http://museumvictoria.com.au/CSIRAC/ [Viewed: December 7,2008], 2004.Paul E. McKenney and JonathanWalpole. What is RCU, fundamentally?Available: http://lwn.net/Articles/262464/ [Viewed December27, 2007], December 2007.[Nes06a] Oleg Nesterov. Re: [patch]cpufreq: mark cpufreq tsc() ascore initcall sync. Available: http://lkml.org/lkml/2006/11/19/69[Viewed May 28, 2007], November2006.[Nes06b] Oleg Nesterov. Re: [rfc, patch 1/2]qrcu: ”quick” srcu implementation.Available: http://lkml.org/lkml/2006/11/29/330[ViewedNovember26,2008], November 2006.[ONH + 96] Kunle Olukotun, Basem A. Nayfeh,Lance Hammond, Ken Wilson, andKunyung Chang. The case for a singlechipmultiprocessor. In ASPLOS VII,October 1996.[Ope97] Open Group. The single UNIXspecification, version 2: Threads.Available: http://www.opengroup.org/onlinepubs/007908799/xsh/threads.html [Viewed September 19,2008], 1997.[Pos08] PostgreSQL Global DevelopmentGroup. PostgreSQL. Available:http://www.postgresql.org/[Viewed November 26, 2008], November2008.[PW07][Rei07][RG01]Donald E. Porter and Emmett Witchel.Lessons from large transactionalsystems. Personal communication¡20071214220521.GA5721@olivegreen.cs.utexas.edu¿,December 2007.James Reinders. Intel Threading BuildingBlocks. O’Reilly, Sebastopol, CA,USA, 2007.Ravi Rajwar and James R. Goodman.Speculative lock elision: Enablinghighly concurrent multithreaded execution.In Proceedings of the 34 th AnnualACM/IEEE International Symposiumon Microarchitecture, pages 294–305, Austin, TX, December 2001. TheInstitute of Electrical and ElectronicsEngineers, Inc.[RHP + 07] Chistopher J. Rossbach, Owen S.Hofmann, Donald E. Porter, Hany E.Ramadan, Aditya Bhandari, andEmmett Witchel. TxLinux: Usingand managing hardware transactionalmemory in an operating system. InSOSP’07: Twenty-First ACM Symposiumon Operating Systems Principles.ACM SIGOPS, October 2007. Available:http://www.sosp2007.org/papers/sosp056-rossbach.pdf[Viewed October 21, 2007].
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Is Parallel Programming Hard, And,
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Contents1 Introduction 11.1 Histori
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CONTENTSv6 Locking 676.1 Staying Al
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CONTENTSviiB Synchronization Primit
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CONTENTSixE.7.1 Introduction to Pre
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PrefaceThe purpose of this book is
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Chapter 1IntroductionParallel progr
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1.2. PARALLEL PROGRAMMING GOALS 3CP
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1.3. ALTERNATIVES TO PARALLEL PROGR
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1.4. WHAT MAKES PARALLEL PROGRAMMIN
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1.5. GUIDE TO THIS BOOK 9other hand
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Chapter 2Hardware and its HabitsMos
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2.1. OVERVIEW 13Therefore, as shown
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16 CHAPTER 2. HARDWARE AND ITS HABI
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18 CHAPTER 2. HARDWARE AND ITS HABI
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20 CHAPTER 3. TOOLS OF THE TRADE1 p
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22 CHAPTER 3. TOOLS OF THE TRADE1 p
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24 CHAPTER 3. TOOLS OF THE TRADE1.1
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26 CHAPTER 3. TOOLS OF THE TRADEQui
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28 CHAPTER 3. TOOLS OF THE TRADE
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30 CHAPTER 4. COUNTING1 atomic_t co
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32 CHAPTER 4. COUNTING4.2.3 Eventua
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34 CHAPTER 4. COUNTINGvanish when t
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36 CHAPTER 4. COUNTINGper-thread va
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38 CHAPTER 4. COUNTING1 unsigned lo
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42 CHAPTER 4. COUNTING1 #define THE
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46 CHAPTER 4. COUNTINGReadsAlgorith
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48 CHAPTER 5. PARTITIONING AND SYNC
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68 CHAPTER 6. LOCKING1 int delete(i
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70 CHAPTER 7. DATA OWNERSHIP
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72 CHAPTER 8. DEFERRED PROCESSINGfo
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74 CHAPTER 8. DEFERRED PROCESSINGth
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76 CHAPTER 8. DEFERRED PROCESSING
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82 CHAPTER 8. DEFERRED PROCESSINGNo
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108 CHAPTER 8. DEFERRED PROCESSING
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110 CHAPTER 9. APPLYING RCU1 struct
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112 CHAPTER 9. APPLYING RCU
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114 CHAPTER 10. VALIDATION: DEBUGGI
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116 CHAPTER 11. DATA STRUCTURES
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118 CHAPTER 12. ADVANCED SYNCHRONIZ
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138 CHAPTER 13. EASE OF USEFigure 1
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140 CHAPTER 13. EASE OF USE
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142 CHAPTER 14. TIME MANAGEMENT
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144 CHAPTER 15. CONFLICTING VISIONS
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154 APPENDIX A. IMPORTANT QUESTIONS
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156 APPENDIX A. IMPORTANT QUESTIONS
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158 APPENDIX B. SYNCHRONIZATION PRI
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160 APPENDIX B. SYNCHRONIZATION PRI
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162 APPENDIX C. WHY MEMORY BARRIERS
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184 APPENDIX D. READ-COPY UPDATE IM
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244 APPENDIX E. FORMAL VERIFICATION
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272 APPENDIX F. ANSWERS TO QUICK QU
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Page 348 and 349: 336 BIBLIOGRAPHY[But97]USA, March 2
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Page 352 and 353: 340 BIBLIOGRAPHY[McK06] Paul E. McK
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Is Parallel Programming Hard, And, If So, What Can You Do About It?

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