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10 shows how to use Windows synchronization in more general ways, and it discusses several programming models that help ensure correctness and maintainability, as well as good performance 10 also creates several compound synchronization objects that are useful for solving a number of important problems Subsequent chapters use threads and synchronization as required for applications, such as servers There are also a few more basic threading topics; for example, 12 illustrates and discusses thread safety and reentrancy in DLLs
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10 provides information sources that apply to this chapter as well
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91 Experiment with statsMX on your own system and on as many different systems (both hardware and Windows versions) as are available to you Do you obtain similar results as those reported in this chapter What happens on an SMP system 92 Use TimedMutualExclusionSC to experiment with CRITICAL_SECTION spin counts to see whether adjusting the count can improve and tune SMP performance when you have a large number of threads Results will vary from system to system, and I have found approximately optimal points ranging from 2,000 to 10,000 93 Use TimedMutualExclusion, included on the book's Web site, to experiment with delay and sleep point counts 94 TimedMutualExclusion also uses a semaphore throttle to limit the number of running threads Experiment with the count on both single-processor and SMP systems Can you reproduce the result reported earlier in this chapter 95 Apply the semaphore throttle technique to statsMX (statsCSc, statsMXc) 96 Advanced exercise: Do the four variations of statsMX all operate correctly, ignoring performance, on SMP systems Experiment with a large number of worker threads If at all possible, run on an SMP Windows 2000 or 2003 server Can you reproduce the "word tearing" or "cache line conflict" problem described earlier and also in Butenhof's Programming with POSIX Threads You may need to use a 16-bit (short integer) count to reproduce the problem 97 Use processor affinity as a performance enhancement technique by modifying this chapter's programs 98 Determine the effect of hyperthreading on application performance The Intel Xeon processor, for example, provides hyperthreading
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The preceding chapter described Windows performance issues and how to deal with them in realistic situations 8 described several simple problems that require synchronization This chapter will solve additional real but more complex problems, relying on the ideas introduced s 8 and 9 The first step is to combine two or more synchronization objects and data to create compound objects The most useful combination is the condition variable model involving a mutex and one or more events The condition variable model is essential in numerous practical situations, and many serious program race condition defects occur when programmers do not use the Windows synchronization objects, especially events, properly Events are complex, and their behavior varies depending on the choices illustrated in Table 8-1, so they should be used according to well-understood models Subsequent sections show how to use asynchronous procedure calls (APCs) so that individual, cooperating threads can be controlled and canceled in an orderly manner Additional performance issues are discussed as appropriate
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Threaded programs are much easier to develop, understand, and maintain if we use well-understood and familiar techniques and models 7 discussed this and introduced the boss/worker and work crew models to establish a useful framework for understanding many threaded programs The critical section concept is essential when using mutexes, and describing the invariants of your data structure is very useful Finally, even defects have models, as we saw with the deadlock example Note: Microsoft has its own set of models, such as the apartment model and free threading These terms are most often used with COM and are discussed briefly at the end of 11
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