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

Introduction to template metaprogramming

When writing regular C++ code, it is eventually transformed into machine code. Metaprogramming, on the other hand, allows us to write code that transforms itself into regular C++ code. In a more general sense, metaprogramming is a technique where we write code that transforms or generates some other code. By using metaprogramming, we can avoid duplicating code that only differs slightly based on the data types we use, or we can minimize runtime costs by precomputing values that can be known before the final program executes. There is nothing that stops us from generating C++ code by using other languages. We could, for example, do metaprogramming by using preprocessor macros extensively or writing a Python script that generates or modifies C++ files for us:

Figure 8.1: A metaprogram generates regular C++ code that will later be compiled into machine code

Even though we could use any language to produce regular code, with C++, we...