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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

Introducing perf

Profiling is the process of recording information about the execution of a program in order to understand its performance characteristics. This can be very crude, such as simply timing the time spent in particular functions or performing particular tasks. This is often the first step in identifying which parts of your program are the most computationally intensive and where you need to focus your performance tuning attention. Remember, you should only spend time optimizing components that need to be fast, and you should always measure (at least) twice before you jump in and make the cut. Performance tuning is time-consuming and difficult to get right, and should not be done at the expense of mission-critical components.

Once you’ve identified the parts of your program that actually consume the most amount of time (by measuring), you need to dig deeper to understand exactly what, if any, pieces of code aren’t maximizing their performance. Now, it...

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