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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

What is a thread-safe data structure?

Before we begin learning about thread-safe data structures, we have to know what they are. If this seems like a simple question – data structures that can be used by multiple threads at once – you have not given the question enough thought. I cannot overstate how important it is to ask this question every time you start designing a new data structure or an algorithm to be used in a concurrent program. If this sentence puts you on guard and gives you pause, there is a good reason for it: I have just implied that the thread-safe data structure has no single definition that suits every need and every application. This is indeed the case, and is a very important point to understand.

The best kind of thread safety

Let's start with something that should be obvious but is often forgotten in practice: a very general principle of designing for high performance is that doing zero work is always faster than doing some work. For the...

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