Book Image

C++ High Performance - Second Edition

By : Björn Andrist, Viktor Sehr
5 (2)
Book Image

C++ High Performance - Second Edition

5 (2)
By: Björn Andrist, Viktor Sehr

Overview of this book

C++ High Performance, Second Edition guides you through optimizing the performance of your C++ apps. This allows them to run faster and consume fewer resources on the device they're running on without compromising the readability of your codebase. The book begins by introducing the C++ language and some of its modern concepts in brief. Once you are familiar with the fundamentals, you will be ready to measure, identify, and eradicate bottlenecks in your C++ codebase. By following this process, you will gradually improve your style of writing code. The book then explores data structure optimization, memory management, and how it can be used efficiently concerning CPU caches. After laying the foundation, the book trains you to leverage algorithms, ranges, and containers from the standard library to achieve faster execution, write readable code, and use customized iterators. It provides hands-on examples of C++ metaprogramming, coroutines, reflection to reduce boilerplate code, proxy objects to perform optimizations under the hood, concurrent programming, and lock-free data structures. The book concludes with an overview of parallel algorithms. By the end of this book, you will have the ability to use every tool as needed to boost the efficiency of your C++ projects.
Table of Contents (17 chapters)
15
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16
Index

Computer memory

The physical memory of a computer is shared among all the processes running on a system. If one process uses a lot of memory, the other processes will most likely be affected. But from a programmer's perspective, we usually don't have to bother about the memory that is being used by other processes. This isolation of memory is due to the fact that most operating systems today are virtual memory operating systems, which provide the illusion that a process has all the memory for itself. Each process has its own virtual address space.

The virtual address space

Addresses in the virtual address space that programmers see are mapped to physical addresses by the operating system and the memory management unit (MMU), which is a part of the processor. This mapping or translation happens each time we access a memory address.

This extra layer of indirection makes it possible for the operating system to use physical memory for the parts of a process...