Concurrent and Parallel C++

Build High-Performance Concurrent Pipelines with C++20 and SYCL

Noor Abara

• Publisher: Chiify
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9798259604858
• Subtopic: Parallel Programming
• Index: Computer Science

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. Start writing faster, more responsive C++ today. Scroll up and click 'Buy Now' to get your copy of Concurrent and Parallel C++.

Table of contents

• Concurrent and Parallel C++
• Concurrent and Parallel C++
• Preface
• Chapter 1 — Your First Parallel Program
• Chapter 2 — Safe Thread Management
• Chapter 3 — Protecting Shared Data
• Chapter 4 — Condition Variables & Event Signaling
• Chapter 5 — Lock-Free Data Structures
• Chapter 6 — High-Level Tasks with std::async and std::future
• Chapter 7 — Parallel Algorithms in the Standard Library
• Chapter 8 — Thread Pools
• Chapter 9 — Work Stealing for Load Balancing
• Chapter 10 — Introduction to C++20 Coroutines
• Chapter 11 — Coroutine-based Pipeline Stages
• Chapter 12 — SIMD Vectorization Fundamentals
• Chapter 13 — Integrating SIMD into the Pipeline
• Chapter 14 — GPU Programming with SYCL
• Chapter 15 — GPU-CPU Hybrid Pipeline
• Chapter 16 — Performance Profiling and Tuning
• Chapter 17 — Debugging Concurrency Bugs
• Chapter 18 — Production Deployment and Cross-Platform Build