Memory Management in C++: A Practical Guide to Efficient Allocation, Ownership Models, and Performance Optimization
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Description
C++ remains the undisputed standard for high-performance software, from operating systems to high-frequency trading engines. But mastering C++ is not just about understanding syntax; it is about taking absolute control over the physical hardware. Modern C++ provides unprecedented tools to manage memory, align data for CPU caches, and execute lock-free multithreading.
This book is your definitive guide to tearing down the abstractions between your C++ code and the silicon it runs on. I will show you how to abandon slow, traditional memory allocations and architect custom memory pipelines that operate at blistering speeds. You will learn how to write software that respects the physics of the processor, eliminating hidden bottlenecks and securing your memory across dozens of concurrent threads.
What's inside
Custom Allocation Pipelines: Master std::allocator and Polymorphic Memory Resources (PMR) to bypass the slow operating system entirely. Cache-Sympathetic Architecture: Restructure your layouts using Data-Oriented Design (SoA) and manual padding to exploit 64-byte cache lines. Lock-Free Concurrency: Eradicate mutex bottlenecks using Thread-Local Storage, Atomics, and advanced memory reclamation strategies like Hazard Pointers. Forensic Profiling: Deploy AddressSanitizer, Heaptrack, and Google Benchmark to track down lethal use-after-free bugs and mathematically prove your optimizations. If you are an intermediate to advanced C++ developer, a systems engineer, or a software architect building latency-sensitive applications, this book is for you. You should already be comfortable with C++ syntax; this guide is here to teach you absolute hardware mastery.
Stop letting invisible memory bottlenecks and hardware stalling dictate your software's performance. It is time to take absolute control of your architecture. Grab your copy now and start building systems that execute at the absolute maximum speed the physical silicon allows.
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