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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, we have learned about the performance of the basic building blocks of any concurrent program. All accesses to the shared data must be protected or synchronized, but there is a wide range of options when it comes to implementing such synchronization. While mutex is the most commonly used and the simplest alternative, we have learned several other, better-performing options: spinlocks and their variants, as well as lock-free synchronization.

The key to an efficient concurrent program is to make as much data as possible local to one thread and minimize the operations on the shared data. The requirements specific to each problem usually dictate that such operations cannot be eliminated completely, so this chapter is all about making the concurrent data accesses more efficient.

We studied how to count or accumulate results across multiple threads, again with and without locks. Understanding the data dependency issues led us to the discovery of the publishing...

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