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Modern C++ Concepts

In this chapter, we will take an in-depth look at some modern C++ concepts such as move-semantics, forwarding references, std::optional, std::any, and lambda functions. Some of these concepts still confuse even experienced C++ programmers and therefore we will look into both their use cases and how they work under the hood.

Key benefits

Explore concurrent programming in C++

Identify memory management problems

Use SIMD and STL containers for performance improvement

Description

C++ is a highly portable language and can be used to write both large-scale applications and performance-critical code. It has evolved over the last few years to become a modern and expressive language. This book will guide you through optimizing the performance of your C++ apps by allowing them to run faster and consume fewer resources on the device they're running on without compromising the readability of your code base. The book begins by helping you measure and identify bottlenecks in a C++ code base. It then moves on by teaching you how to use modern C++ constructs and techniques. You'll see how this affects the way you write code. Next, you'll see the importance of data structure optimization and memory management, and how it can be used efficiently with respect to CPU caches. After that, you'll see how STL algorithm and composable Range V3 should be used to both achieve faster execution and more readable code, followed by how to use STL containers and how to write your own specialized iterators. Moving on, you’ll get hands-on experience in making use of modern C++ metaprogramming and reflection to reduce boilerplate code as well as in working with proxy objects to perform optimizations under the hood. After that, you’ll learn concurrent programming and understand lock-free data structures. The book ends with an overview of parallel algorithms using STL execution policies, Boost Compute, and OpenCL to utilize both the CPU and the GPU.

What you will learn

Benefits of modern C++ constructs and techniques

Identify hardware bottlenecks, such as CPU cache misses, to boost performance

Write specialized data structures for performance-critical code

Use modern metaprogramming techniques to reduce runtime calculations

Achieve efficient memory management using custom memory allocators

Reduce boilerplate code using reflection techniques

Reap the benefits of lock-free concurrent programming

Perform under-the-hood optimizations with preserved readability using proxy objects

Gain insights into subtle optimizations used by STL algorithms

Utilize the Range V3 library for expressive C++ code

Parallelize your code over CPU and GPU, without compromising readability

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

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DRM FREE - Read whenever, wherever and however you want

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Christian Albaret Feb 16, 2024

I bought 5 books at once and could only give a fast glance at this one in order to write he review. This is a highly technical book of almost 400 pages—it takes some time to read that. I am senior developper and work on performant computing in my job. I see that the book handles all the major topics about performance as they occur in present-day computers and as they are programmed in present-day C++ (updated to C++17). The topics are discussed, and complemented with examples, and diagrams to explain memory layout. This will be a good reference book for any developper committed to performant computing, and a good introduction for anyone wanting to start seriously.

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Debasish Aug 14, 2019

Good

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SonChakr May 24, 2018

Liked the book very much, especially as it is written about software performance from a C++ perspective (true to its title).Chapter 11 is a bonus, as it gives some insight into Boost's compute library, though the content could be elaborated a tad more. Overall, I liked the book and read through it, like a breeze (and refer to it, once in a while).

Anil Kumar Sep 01, 2018

The books like 'Effective Modern C++' talk about readable and maintainable code (considering performance as well) using modern C++ but this book primarily focuses on things like: what does that code mean for processor and how to make it more efficient while maintaining the readability. All such suggestions have been supported with performance numbers. It is a huge bonus that this book also uses modern C++. Some features are yet to be included in STL but this book explained them as they were too important to skip (like Ranges library).I loved its content on cache, lazy-evaluation, STL algorithms and reflection. The content presentation is very clear and examples have working modern C++ code.

Chen Xu May 04, 2018

The best C++ book I have every read.

C++ High Performance: Boost and optimize the performance of your C++17 code

What do you get with Print?

C++ High Performance

Modern C++ Concepts

Automatic type deduction with the auto keyword

Using auto in function signatures

The lambda function

Basic syntax of a C++ lambda function

Const propagation for pointers

Move semantics explained

Representing optional values with std::optional

Optional return values

Representing dynamic values with std::any

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Old syntax with explicit type:	New syntax with auto:
struct Foo { int val() const { return m_; } const int& cref() const { return m_; } int& mref() { ...

C++ High Performance: Boost and optimize the performance of your C++17 code

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