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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Understanding views from the Ranges library

Views in the Ranges library are lazy evaluated iterations over a range. Technically, they are only iterators with built-in logic, but syntactically, they provide a very pleasant syntax for many common operations.

The following is an example of how to use a view to square each number in a vector (via iteration):

auto numbers = std::vector{1, 2, 3, 4};
auto square = [](auto v) {  return v * v; };
auto squared_view = std::views::transform(numbers, square);
for (auto s : squared_view) {  // The square lambda is invoked here
  std::cout << s << " ";
// Output: 1 4 9 16

The variable squared_view is not a copy of the numbers vector with the values squared; it is a proxy object for numbers with one slight difference—every time you access an element, the std::transform() function is invoked. This is why we say that a view is lazy evaluated.

From the outside, you can still iterate...