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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

The performance begins with the CPU

As we have observed in the earlier chapters, an efficient program is one that makes full use of the available hardware resources and does not waste them for tasks that are not needed. A high-performing program cannot be described so simply because performance can be defined only with respect to specific targets. Nonetheless, in this book, and in particular, in this chapter, we are largely concerned with the computational performance or throughput: how fast can we solve a given problem with the hardware resources we have? This type of performance is closely related to efficiency: our program will deliver the result faster if every computation it executes brings us closer to the result, and, at every moment, we do as much computing as possible.

This brings us to the next question: just how much computing can be done, say, in one second? The answer, of course, will depend on what hardware you have, how much of it, and how efficiently your program...

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