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The Art of Writing Efficient Programs

You're reading from   The Art of Writing Efficient Programs An advanced programmer's guide to efficient hardware utilization and compiler optimizations using C++ examples

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781800208117
Length 464 pages
Edition 1st Edition
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Author (1):
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Fedor G. Pikus Fedor G. Pikus
Author Profile Icon Fedor G. Pikus
Fedor G. Pikus
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Table of Contents (18) Chapters Close

Preface 1. Section 1 – Performance Fundamentals
2. Chapter 1: Introduction to Performance and Concurrency FREE CHAPTER 3. Chapter 2: Performance Measurements 4. Chapter 3: CPU Architecture, Resources, and Performance 5. Chapter 4: Memory Architecture and Performance 6. Chapter 5: Threads, Memory, and Concurrency 7. Section 2 – Advanced Concurrency
8. Chapter 6: Concurrency and Performance 9. Chapter 7: Data Structures for Concurrency 10. Chapter 8: Concurrency in C++ 11. Section 3 – Designing and Coding High-Performance Programs
12. Chapter 9: High-Performance C++ 13. Chapter 10: Compiler Optimizations in C++ 14. Chapter 11: Undefined Behavior and Performance 15. Chapter 12: Design for Performance 16. Assessments 17. Other Books You May Enjoy

Summary

In this chapter, you have learned perhaps the single most important lesson in the entire book: it makes no sense to talk, or even think, about performance without referring to specific measurements. The rest is largely craftsmanship: we presented several ways to measure performance, starting from the whole program and drilling down to a single line of code.

A large high-performance project will see every tool and method you learned about in this chapter used more than once. Coarse measurements – benchmarking and profiling the entire program or large parts of it – point to the areas of the code that require further investigation. Additional rounds of benchmarking or the collection of a more detailed profile usually follow. Eventually, you will identify the parts of the code that require optimization, and the question becomes, "how do I do this faster?" At this point, you can use a micro-benchmark or another small-scale benchmark to experiment with...

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