Mastering C++ For Concurrency And Parallel Programming

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).