Concurrent Programming on Windows by Joe Duffy

By Joe Duffy

Writer Joe Duffy has risen to the problem of explaining the right way to write software program that takes complete good thing about concurrency and parallelism. In Concurrent Programming on home windows, he explains how you can layout, enforce, and retain large-scale concurrent courses, basically utilizing C# and C++ for Windows.

Concurrent Programming on home windows has 4 significant sections: the 1st introduces concurrency at a excessive point, through a piece that makes a speciality of the elemental platform gains, internal workings, and API info.

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It's as if each is trying to get to the finish line first, and, depending on which gets there first, the program will yield different results, sometimes correct and sometimes not. Races are just one of many issues that can arise when shared state is involved and can be a serious threat to program correctness. A thorough exploration of concurrency hazards, including races, is presented in Chapter 1 1 , Concurrency Hazards. Why did this race manifest? It happened because t1 and t2 each made a copy of the shared memory value in their own processor local register, one = after the other, both observing the same value of 0, and then incremented their own private copies.

If you stop to think about it, this picture is not very different from what we are accustomed to seeing for sequential software. Software developers creating libraries focus on ensuring that their performance meets customer expec­ tations, and they spend a fair bit of time on optimization and enabling future scalability. Parallelism is similar; the techniques used are different, but the primary motivating factor-that of improving performance-is shared among them. Aside from embarrassingly parallel algorithms and libraries, some applications will still use concurrency specifically.

Let's consider a really simple invariant. The count of the queue must be less than or equal to the length of the array used to store the individual ele­ ments. ) If this queue was meant only to be used by sequential programs, then preserving the invariant at the entrance and exit of all public methods would be sufficient as a correctness condition. It would be trivial: only those methods that modify the fields need to be writ­ ten to carefully respect the invariant. The most difficult aspect of attaining this would be dealing with failures, such as an inability to allocate mem­ ory when needed .

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