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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

The Problems of Scale

At a certain point, the power of a single computer is insufficient to solve a problem, and one must seek to expand to use multiple computers as part of a cluster. Scaling up computation comes with a new set of problems that must be solved. Managing the work between each of the individual nodes is one part, and distributing data is another. Most importantly, one must manage the number of workers that can access a shared resource at a time or face suboptimal performance or worse.

In this chapter, we examine some of the technical challenges associated with scaling up our code to solve larger and more complex problems, and some of the technologies we need to overcome these challenges. We start with some of the mechanisms for controlling data access (at a thread level), which give us insight into the kind of mechanisms we need at even larger scales. Next, we see how to use the message passing interface (MPI) to coordinate data and work between many nodes in a...

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