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  • Book Overview & Buying The C++ Programmer's Mindset
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The C++ Programmer's Mindset

The C++ Programmer's Mindset

By : Sam Morley
4.7 (3)
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The C++ Programmer's Mindset

The C++ Programmer's Mindset

4.7 (3)
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

Special considerations for the cloud

The cloud provides flexible, scalable compute resources that make computation accessible to those who cannot afford or warrant a large compute cluster for their own use. This can be a very powerful tool if deployed correctly, and can also be very cost-effective, but achieving the correct level of orchestration can be rather tricky. In this section, we outline some of the nuances that make the cloud especially powerful and some of the tips for avoiding problems.

The biggest problem with setting up compute infrastructure in the cloud to run high-performance compute workflows is in setting up each of the nodes with the required software, such as making sure that all the nodes have compatible versions of MPI and all the other library dependencies necessary for the work. One must also do all the orchestration that is usually handled by cluster administrators on other HPC clusters. This makes it sound like a difficult task, but it is not; see https...

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