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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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Toc

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

Identifying memory bottlenecks

Most code is limited in speed by the rate at which data can be moved around. This can manifest in various ways, including TLB misses (recall that the TLB or translational lookaside buffer is a cache of pages that have been accessed recently), misses in the various levels of cache, or bad branch predictions and prefetch operations. perf will sometimes report these kinds of issues as being backend-bound.

To demonstrate the use of these tools, we need an example problem to work on. The example we’re going to look at in this section is the problem of computing the outer product of two vectors, which is an entirely memory-bound operation, and there is very little compute involved. The basic function is defined as follows, and we can adjust the lengths of the vectors to see different problematic behaviors:

inline void outer_product(float* z,
                          const float* x,
                          const float* y,
                ...
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83
Tech Concepts
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Programming languages
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