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The C++ Programmer's Mindset

The C++ Programmer's Mindset

By : Sam Morley
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The C++ Programmer's Mindset

The C++ Programmer's Mindset

By: Sam Morley

Overview of this book

Solve complex problems in C++ by learning how to think like a computer scientist. This book introduces computational thinking—a framework for solving problems using decomposition, abstraction, and pattern recognition—and shows you how to apply it using modern C++ features. You'll learn how to break down challenges, choose the right abstractions, and build solutions that are both maintainable and efficient. Through small examples and a large case study, this book guides you from foundational concepts to high-performance applications. You’ll explore reusable templates, algorithms, modularity, and even parallel computing and GPU acceleration. With each chapter, you’ll not only expand your C++ skillset, but also refine the way you approach and solve real-world problems. Written by a seasoned research engineer and C++ developer, this book combines practical insight with academic rigor. Whether you're designing algorithms or profiling production code, this book helps you deliver elegant, effective solutions with confidence.
Table of Contents (19 chapters)
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18
Index

Understanding the Machine

Modern hardware is extremely complicated and possesses a large number of facilities for making code run more quickly and efficiently. It is important that a programmer understands all the tools at their disposal when solving problems, particularly when chasing performance, and this certainly includes the hardware of the computer and the operating system that works closely with the hardware.

In this chapter, we take a brief look at some of the crucial pieces of hardware, including the various parts of the processor, such as cache memory and single instruction multiple data (SIMD) extensions, and the main memory. We will see some examples of how we can design algorithms that make use of the cache memory on the processor and make use of SIMD instructions to greatly improve the throughput of the processor. We will look at higher-level parallelism through multithreading with OpenMP and making use of operating system facilities to make sure the application...

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