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    3. Mastering C++ For Concurrency And Parallel Programming

    Mastering C++ For Concurrency And Parallel Programming

    Posted By: TiranaDok
    Date: 7 Feb 2025 09:08:11
    Mastering C++ For Concurrency And Parallel Programming

    Mastering C++ For Concurrency And Parallel Programming : A Step By Step Guide To Writing Efficient, Scalable, And Reliable Code by Ethan D. Ryder
    English | September 24, 2024 | ISBN: N/A | ASIN: B0DHTZV6HD | 185 pages | EPUB | 0.59 Mb

    Unlock the full potential of modern C++ and harness the power of concurrent and parallel programming to build scalable, efficient, and reliable software systems.

    Key Features
    • Essential C++ for Concurrent and Parallel Programming: Foundations and best practices
    • Threads and Synchronization: Managing threads, mutexes, locks, and condition variables
    • Tasks and Futures: Asynchronous programming with std::async and std::future
    • The Standard Template Library (STL) for Parallelism: Utilizing parallel algorithms and containers
    • Lock-Free Data Structures: Designing and implementing concurrent data structures
    • Asynchronous Programming Patterns: Mastering callbacks, coroutines, and continuations
    • GPU Programming with CUDA/OpenCL: Leveraging GPU acceleration for parallel computing
    • Distributed Computing and Message Passing: Scaling parallel programs across multiple nodes
    What You'll Learn
    • Understand the fundamentals of concurrency and parallelism in C++
    • Master thread management, synchronization, and communication
    • Apply parallel algorithms and data structures using STL
    • Implement lock-free data structures and asynchronous programming patterns
    • Harness GPU acceleration with CUDA and OpenCL
    • Scale parallel programs using distributed computing and message passing
    • Optimize performance, scalability, and reliability
    Who This Book Is For
    • Experienced C++ developers seeking to master concurrency and parallelism
    • Software engineers and architects designing high-performance systems
    • Researchers and students in parallel computing and distributed systems
    • Developers transitioning from sequential to parallel programming
    Table of Contents
    • Introduction to Concurrency and Parallelism
    • Essential C++ for Concurrent and Parallel Programming
    • Threads and Synchronization
    • Tasks and Futures
    • The Standard Template Library (STL) for Parallelism
    • Lock-Free Data Structures
    • Asynchronous Programming Patterns
    • GPU Programming with CUDA/OpenCL
    • Distributed Computing and Message Passing
    • Conclusion

    Get Started Today!
    Master the art of concurrent and parallel programming with C++ and take your software development skills to the next level.

    Target Audience:
    • Experienced C++ developers
    • Software engineers and architects
    • Researchers and students
    • Developers transitioning to parallel programming
    Prerequisites:
    • Basic knowledge of C++ programming
    • Familiarity with computer architecture and operating systems
    Tools and Technologies:
    • C++11/C++14/C++17
    • STL (Standard Template Library)
    • CUDA/OpenCL
    • Distributed computing frameworks (e.g., MPI).

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