Mastering Multithreading Write Robust by Maya Posch (6 results)

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  • Language: English

    Published by Packt Publishing 7/28/2017, 2017

    1787121704 / 9781787121706

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    Paperback or Softback. Condition: New. Mastering C++ Multithreading: Write robust, concurrent, and parallel applications. Book.

  • Language: English

    Published by Packt Publishing, 2017

    1787121704 / 9781787121706

    • Softcover

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  • Language: English

    Published by Packt Publishing, 2017

    1787121704 / 9781787121706

    • Softcover

    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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    Condition: New. In English.

  • Language: English

    Published by Packt Publishing 2017-07-28, 2017

    1787121704 / 9781787121706

    • Softcover

    Seller: Chiron Media, Wallingford, United KingdomChiron Media

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  • Language: English

    Published by Packt Publishing, 2017

    1787121704 / 9781787121706

    • Softcover
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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master multithreading and concurrent processing with C++Key FeaturesDelve into the fundamentals of multithreading and concurrency and find out how to implement them Explore atomic operations to optimize code performance Apply concurrency to both distributed computing and GPGPU processing Book Description Multithreaded applications execute multiple threads in a single processor environment, allowing developers achieve concurrency. This book will teach you the finer points of multithreading and concurrency concepts and how to apply them efficiently in C++. Divided into three modules, we start with a brief introduction to the fundamentals of multithreading and concurrency concepts. We then take an in-depth look at how these concepts work at the hardware-level as well as how both operating systems and frameworks use these low-level functions. In the next module, you will learn about the native multithreading and concurrency support available in C++ since the 2011 revision, synchronization and communication between threads, debugging concurrent C++ applications, and the best programming practices in C++. In the final module, you will learn about atomic operations before moving on to apply concurrency to distributed and GPGPU-based processing. The comprehensive coverage of essential multithreading concepts means you will be able to efficiently apply multithreading concepts while coding in C++. What you will learnDeep dive into the details of the how various operating systems currently implement multithreading Choose the best multithreading APIs when designing a new application Explore the use of mutexes, spin-locks, and other synchronization concepts and see how to safely pass data between threads Understand the level of API support provided by various C++ toolchains Resolve common issues in multithreaded code and recognize common pitfalls using tools such as Memcheck, CacheGrind, DRD, Helgrind, and more Discover the nature of atomic operations and understand how they can be useful in optimizing code Implement a multithreaded application in a distributed computing environment Design a C++-based GPGPU application that employs multithreading Who this book is for: ¿This book is for intermediate C++ developers who wish to extend their knowledge of multithreading and concurrent processing. You should have basic experience with multithreading and be comfortable using C++ development toolchains on the command line.

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    Language: English

    Published by Packt Publishing, 2017

    1787121704 / 9781787121706

    • Softcover
    • Print on Demand

    Seller: preigu, Osnabrück, Germanypreigu

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    Taschenbuch. Condition: Neu. Mastering C++ Multithreading | Write robust, concurrent, and parallel applications | Maya Posch | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | Packt Publishing | EAN 9781787121706 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.