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)
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Introducing lazy evaluation and proxy objects

First and foremost, the techniques used in this chapter are used to hide optimizations in a library from the user of that library. This is useful because exposing every single optimization technique as a separate function requires a lot of attention and education from the user of the library. It also bloats the code base with a multitude of specific functions, making it hard to read and understand. By using proxy objects, we can achieve optimizations under the hood; the resultant code is both optimized and readable.

Lazy versus eager evaluation

Lazy evaluation is a technique used to postpone an operation until its result is really needed. The opposite, where operations are performed right away, is called eager evaluation. In some situations, eager evaluation is undesirable as we might end up constructing a value that is never used.

To demonstrate the difference between eager and lazy evaluation, let's assume we are...