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C++ Memory Management

You're reading from   C++ Memory Management Write leaner and safer C++ code using proven memory-management techniques

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Product type Paperback
Published in Mar 2025
Publisher Packt
ISBN-13 9781805129806
Length 442 pages
Edition 1st Edition
Languages
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Author (1):
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Patrice Roy Patrice Roy
Author Profile Icon Patrice Roy
Patrice Roy
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Toc

Table of Contents (23) Chapters Close

Preface 1. Part 1: Memory in C++
2. Chapter 1: Objects, Pointers, and References FREE CHAPTER 3. Chapter 2: Things to Be Careful With 4. Chapter 3: Casts and cv-qualifications 5. Part 2: Implicit Memory Management Techniques
6. Chapter 4: Using Destructors 7. Chapter 5: Using Standard Smart Pointers 8. Chapter 6: Writing Smart Pointers 9. Part 3: Taking Control (of Memory Management Mechanisms)
10. Chapter 7: Overloading Memory Allocation Operators 11. Chapter 8: Writing a Naïve Leak Detector 12. Chapter 9: Atypical Allocation Mechanisms 13. Chapter 10: Arena-Based Memory Management and Other Optimizations 14. Chapter 11: Deferred Reclamation 15. Part 4: Writing Generic Containers (and a Bit More)
16. Chapter 12: Writing Generic Containers with Explicit Memory Management 17. Chapter 13: Writing Generic Containers with Implicit Memory Management 18. Chapter 14: Writing Generic Containers with Allocator Support 19. Chapter 15: Contemporary Issues 20. Chapter 16: Unlock Your Book’s Exclusive Benefits 21. Annexure: Things You Should Know 22. Index

Chunked pools

Our size-based arena example was optimized for a single block size and specific usage patterns, but there are many other reasons to want to apply a specialized allocation strategy. In this section, we will explore the idea of a “chunked pool,” or a pool of pre-allocated raw memory of selected block sizes. This is meant as an academic example to build upon more than as something to use in production; the code that follows will be reasonably fast and can be made to become very fast, but in this book, we will focus on the general approach and leave you, dear reader, to enjoy optimizing it to your liking.

The idea in this example is that user code plans to allocate objects of similar (but not necessarily identical) sizes and of various types and supposes an upper bound on the maximal number of objects. This gives us additional knowledge; using that knowledge, we will write a ChunkSizedAllocator<N,Sz...> type where N will be the number of objects of...

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