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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

Chapter 7: Data Structures for Concurrency

In the last chapter, we explored, in detail, the synchronization primitives that can be used to ensure the correctness of concurrent programs. We also studied the simplest but useful building blocks for these programs: thread-safe counters and pointers.

In this chapter, we are going to continue the study of data structures for concurrent programs. The aim of this chapter is two-fold: on the one hand, you will learn how to design thread-safe variants of several fundamental data structures. On the other hand, we will point out several general principles and observations that are important for designing your own data structures to be used in concurrent programs, as well as for evaluating the best approaches to organize and store your data.

In this chapter, we're going to cover the following main topics:

  • Understanding thread-safe data structures, including sequential containers, stack and queue, node-based containers, and lists...
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