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

Memory Management

After reading the previous chapters, it should no longer come as a surprise that the way we handle memory can have a huge impact on performance. The CPU spends a lot of time shuffling data between the CPU registers and the main memory (loading and storing data to and from the main memory). As shown in Chapter 4, Data Structures, the CPU uses memory caches to speed up access to memory, and programs need to be cache-friendly in order to run quickly.

This chapter will reveal more aspects of how computers work with memory so that you know which things must be considered when tuning memory usage. In addition, this chapter covers:

  • Automatic memory allocation and dynamic memory management.
  • The life cycle of a C++ object and how to manage object ownership.
  • Efficient memory management. Sometimes, there are hard memory limits that force us to keep our data representation compact, and sometimes, we have plenty of memory available but need the program...