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critical event i n time) When optimistic concurrency i s used, a similar phenomenon, livelock, can occur
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Data structure invariants are significantly more important to reason about and solidify when concurrency is involved Reentrancy can break them and so, too, can incorrect synchronization granularity A common source of the latter problem is releasing a lock before invariants have been restored Yet at the same time, our current languages and tools do not encourage any kind of invariant capture or verification, complicating the task of ensuring correctness
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The current generation of tools-including Visual Studio 2008 and Debugging Tools for Windows-do not tailor the debugging experi ence to concurrency Thus debugging all of the above mentioned problems tends to be more of a black art than a science and requires deep knowledge of OS and threading internals
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Concurrency is a double-edged sword It can be used to do amazing new things and to enable new compute-intensive experiences that will only become possible with the amount of computing power available in the next generation of microprocessor architecture And in some situations concur rency is unavoidable But it must also be used responsibly so as not to neg atively impact software robustness and reliability This book's aim is to help you decide when it is appropriate, in what ways it is appropriate, and, once you've answered those questions for your situation, to aid you in develop ing, testing, and maintaining concurrent software
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Where Are We
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This introductory chapter painted a high-level picture of concurrency's place in modern software We began by explaining why you might be inter ested in using concurrency and then moved on to a couple brief explo rations of taxonomies that can be useful in organizing your thoughts and structuring your programs Sadly, we haven't seen any code yet! The next chapter, and all of the remaining ones, will change that by focusing on specifics and details
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C h a pter
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K Asanovic, R Bodik, B C Catanzaro, J J Gebis, P Husbands, K Keutzer, D A Patterson, W L Plishker, J Shalf, S W Williams, K A Yelick The
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Technical Report EECS-2006-1 83 (University of California, 2006) J Larus, H Sutter Software and the Concurrency Revolution ACM Queue, Vol 3, No 7 (2005) J Larus Spending Moore's Dividend Microsoft Technical Report, MSR-TR-2008-69 (May 2008) H Sutter The Free Lunch Is Over: A Fundamental Turn Toward Concurrency in Software Dr Dobb's Journal, 30(3) (2005)
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TA TE IS A N important part of any computer system This point seems so S obvious that it sounds silly to say it explicitly But state within even a sin
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gle computer program is seldom a simple thing, and, in fact, is often scattered throughout the program, involving complex interrelationships and different components responsible for managing state transitions, persistence, and so on Some of this state may reside inside a process's memory-whether that means memory allocated dynamically in the heap (eg, objects) or on thread stacks-as well as files on-disk, data stored remotely in database systems, spread across one or more remote systems accessed over a network, and so on The relationships between related parts may be protected by transactions, handcrafted semi transactional systems, or nothing at all The broad problems associated with state management, such as keeping all sources of state in-synch, and architecting consistency and recoverabil ity plans all grow in complexity as the system itself grows and are all traditionally very tricky problems If one part of the system fails, either state must have been protected so as to avoid corruption entirely (which is generally not possible) or some means of recovering from a known safe point must be put into place While state management is primarily outside of the scope of this book, state "in-the-small" is fundamental to building concurrent programs Most Windows systems are built with a strong dependency on shared memo ry due to the way in which many threads inside a process share access to the same
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