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The C++ Programmer's Mindset

You're reading from   The C++ Programmer's Mindset Learn computational, algorithmic, and systems thinking to become a better C++ programmer

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Product type Paperback
Published in Nov 2025
Publisher Packt
ISBN-13 9781835888421
Length 398 pages
Edition 1st Edition
Languages
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Author (1):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Table of Contents (19) Chapters Close

Preface 1. Thinking Computationally 2. Abstraction in Detail FREE CHAPTER 3. Algorithmic Thinking and Complexity 4. Understanding the Machine 5. Data Structures 6. Reusing Your Code and Modularity 7. Outlining the Challenge 8. Building a Simple Command-Line Interface 9. Reading Data from Different Formats 10. Finding Information in Text 11. Clustering Data 12. Reflecting on What We Have Built 13. The Problems of Scale 14. Dealing with GPUs and Specialized Hardware 15. Profiling Your Code 16. Unlock Your Exclusive Benefits 17. Other Books You May Enjoy 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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Tech Concepts
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Programming languages
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