Download C++ Concurrency in Action: Practical Multithreading by Anthony Williams PDF

By Anthony Williams

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C++ Concurrency in Action is a reference and advisor to the recent C++ eleven typical for skilled C++ programmers in addition to those that have by no means written multithreaded code. This publication will aid you write powerful multithreaded functions in C++ whereas keeping off many universal pitfalls.
About the Technology
Multiple processors with a number of cores are the norm nowadays. The C++11 model of the C++ language bargains beefed-up aid for multithreaded functions, and calls for that you just grasp the rules, options, and new language gains of concurrency to stick sooner than the curve.
About the Book
Without assuming you might have a historical past within the topic, CC++ Concurrency in Action steadily allows you to write strong and stylish multithreaded purposes in C++11. You'll discover the threading reminiscence version, the recent multithreading aid library, and simple thread launching and synchronization amenities. alongside the best way, you'll how to navigate the trickier bits of programming for concurrency.

Written for C++ programmers who're new to concurrency and others who can have written multithreaded code utilizing different languages, APIs, or platforms.

buy of the print publication comes with a suggestion of a unfastened PDF, ePub, and Kindle publication from Manning. additionally on hand is all code from the book.
What's Inside* Written for the hot C++11 Standard
* Programming for a number of cores and processors
* Small examples for studying, sizeable examples for practice

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Extra resources for C++ Concurrency in Action: Practical Multithreading

Example text

For many cases, the multithreading support of existing C++ compilers combined with the availability of platform-specific APIs and platform-independent class libraries such as Boost and ACE provide a solid foundation on which to write multithreaded C++ code, and as a result there are probably millions of lines of C++ code written as part of multithreaded applications. But the lack of standard support means that there are occasions where the lack of a thread-aware memory model causes problems, particularly for those who try to gain higher performance by using knowledge of the processor hardware or for those writing cross-platform code where the actual behavior of the compilers varies between platforms.

8 shows a simple implementation of a parallel version of std::accumulate. It divides the work among the threads, with a minimum number of elements per thread in order to avoid the overhead of too many threads. Note that this implementation assumes that none of the operations will throw an exception, even though exceptions are possible; the std::thread constructor will throw if it can’t start a new thread of execution, for example. Handling exceptions in such an algorithm is beyond the scope of this simple example and will be covered in chapter 8.

Opening a new document therefore requires starting a new thread. The thread handling the request isn’t going to care about waiting for that other thread to finish, because it’s working on an unrelated document, so this makes it a prime candidate for running a detached thread. The following listing shows a simple code outline for this approach. detach(); } else { process_user_input(cmd); } } } b c If the user chooses to open a new document, you prompt them for the document to open, start a new thread to open that document B, and then detach it c.

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