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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:

  1. Any data structure designed for thread safety must have a transactional interface: every operation must either not change the state of the data structure or transform it from one well-defined state to another well-defined state.
  2. This comes to the general observation of the performance of concurrent code: the more shared variables there are, the slower the code is. A complex data structure usually needs more data shared between threads that access it concurrently. In addition, there are simple algorithms (some are wait-free) that allow limited thread-safe operations on the data structures.
  3. With an efficient lock, a lock-guarded data structure is not necessarily slower. Often, it is faster. Again, it comes to how many variables are shared: a lock-free scheme that requires multiple atomic variables may be slower than a single lock. We also have to consider the locality of the access: if the data structure is accessed in one or two places (like a queue), the lock...
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