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[center]English | September 24, 2024 | ASIN: B0DHTZV6HD | 185 pages | EPUB | 0.59 Mb[/center]

Mastering C++ For Concurrency And Parallel Programming (Ryder, Ethan D.) (2024) English
Catergory: Computer Technology, Nonfiction

�� 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

�� Contents of download скачать:
�� B0DHTZV6HD.epub (Ryder, Ethan D.) (2024) (608.39 KB)

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⭐️ Mastering C++ For Concurrency And Parallel Programming ✅ (608.39 KB)
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