Concurrent and Parallel C++

Are you ready to master concurrent programming and parallel C++ with hands-on code? This practical guide takes you from std::thread and atomics to lock-free designs and parallel algorithms, covering everything you need for high-performance applications. Noor Abara delivers real-world examples that work with C++11 through C++20, making complex topics accessible for beginners and pros alike.

Dive into threads, tasks, and synchronization primitives, then explore lock-free data structures and the Parallelism TS. Each chapter includes compilable code snippets and performance benchmarks, so you can see the impact of your choices. Whether you're optimizing a game engine, a financial system, or a scientific simulation, this book provides the tools to write safe, efficient concurrent software.

What you'll learn:

• Thread creation and management with std::thread
• Atomic operations and memory ordering
• Mutexes, condition variables, and deadlock avoidance
• Task-based parallelism with std::async and thread pools
• Lock-free queue, stack, and hash map implementations
• Parallel algorithms from the Standard Library
• Performance tuning and profiling techniques

Compare this book with other titles by [placeholder] and [placeholder] to see why Mira's approach stands out. With clear explanations and battle-tested code, you'll gain confidence to tackle any concurrent project.

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