High-Performance C++26 Engineering

Your code compiles. Your tests pass. But on production hardware it runs a fraction as fast as it should. The gap between a C++ program that works and one that genuinely performs is the C++26 concurrency model, the memory hierarchy, atomic memory ordering, and SIMD data parallelism - the topics most books skip or skim.

High-Performance C++26 Engineering closes that gap, chapter by chapter, with working code, real measurements, and a discipline that starts with profiling and ends with provably correct concurrent design.

Inside this book you will:

• Build an accurate mental model of CPU pipelines, cache hierarchies, and the memory wall - and learn to measure what actually costs time with Google Benchmark and perf flame graphs
• Apply data-oriented design, SoA layout, arena allocators, and std::pmr to eliminate allocation churn and cache misses
• Master the C++ memory model: happens-before, acquire/release semantics, and CAS-based lock-free programming - explained without hand-waving
• Use std::jthread, mutexes, semaphores, latches, and barriers to build correct, scalable multithreaded systems
• Compose asynchronous pipelines with std::execution - C++26's standardized sender/receiver framework - for structured, cancellable, testable async code
• Exploit data parallelism with parallel STL algorithms and std::simd, the portable C++26 SIMD abstraction
• Walk through a complete capstone application that reaches 11× its baseline throughput through a measured sequence of targeted optimizations

Written for professional C++ engineers and systems programmers who already know the language and are ready to master the machine beneath it.