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2026-03-179 min read

Polymorphic allocators and memory resources (C++)

Learn Polymorphic allocators and memory resources (C++) step by step with clear examples and exercises.

Why This Matters

Polymorphic allocators and memory resources are essential tools in C++ that enable developers to customize the behavior of memory management for their applications. By tailoring memory allocation and deallocation to the specific needs of an application, polymorphic allocators can lead to improved performance, reduced memory fragmentation, and easier integration with external libraries.

Why This Matters (expanded)

The benefits of using polymorphic allocators and memory resources in C++ are numerous:

  1. Improved performance: By optimizing the allocation and deallocation of memory based on an application's specific requirements, custom allocators can lead to faster execution times. This is particularly important for resource-intensive applications that require frequent memory operations.
  2. Reduced memory fragmentation: Custom allocators can help minimize memory fragmentation by allocating contiguous blocks of memory, which can improve cache locality and reduce the overhead associated with managing free and allocated memory. This, in turn, leads to better performance and reduced memory usage.
  3. Easier integration with external libraries: Many libraries have their own memory management systems that may not be compatible with an application's existing allocator. By using polymorphic allocators, you can create adaptors that allow your application to work seamlessly with these libraries without compromising performance or introducing incompatibilities.
  4. Flexibility and modularity: Polymorphic allocators provide a way to separate the concerns of memory management from the rest of an application's codebase, making it easier to modify, test, and maintain the code over time. This is particularly important for large-scale projects where memory management requirements may change or evolve.
  5. Debugging and error handling: Custom allocators can provide additional debugging information and error handling capabilities that are not available with standard C++ allocators. This can help developers identify and fix memory-related issues more quickly, leading to more robust and reliable applications.
  6. Resource management: Polymorphic allocators can be used to manage resources other than just memory, such as file handles or network sockets. By creating custom allocators for these resources, developers can ensure that they are properly managed throughout the lifetime of an application.

Prerequisites

To fully understand this lesson, you should have a good grasp of the following concepts:

  1. Basic understanding of C++ programming, including classes, objects, and functions.
  2. Familiarity with memory management in C++, such as new, delete, and dynamic memory allocation.
  3. Knowledge of STL containers like vector and string.
  4. Understanding of the Standard Template Library (STL) concepts, including iterators and allocators.
  5. Familiarity with pointers, references, and operator overloading.
  6. Basic understanding of memory management concepts such as heap, stack, and memory fragmentation.
  7. Knowledge of C++ exceptions and exception handling.

Core Concept

Polymorphic Allocator

A polymorphic allocator is a type of allocator that can be used with any container in the STL. It provides a common interface for all allocators, allowing them to be easily interchanged or replaced. The std::allocator class serves as the base class for all polymorphic allocators in C++.

#include <memory>

class MyAllocator : public std::allocator<int> {
public:
// Required constructor
MyAllocator() {}

// Optional constructor to allow custom memory allocation
MyAllocator(void* mem) {}

// Other required member functions
};

In the above example, MyAllocator is a custom allocator for integers. It inherits from std::allocator and provides an optional constructor to allow custom memory allocation.

Memory Resource

A memory resource is an abstract base class that represents a pool of memory with specific properties. The std::pmr::memory_resource class serves as the base class for all memory resources in C++. By deriving from this class, you can create your own custom memory resources with unique characteristics.

#include <memory>

class MyMemoryResource : public std::pmr::memory_resource {
public:
// Required constructor
MyMemoryResource() {}

// Other required member functions
};

In the above example, MyMemoryResource is a custom memory resource. It inherits from std::pmr::memory_resource and provides an implementation for the required member functions.

Allocator Adaptors

An allocator adaptor is a class that wraps an existing allocator with additional functionality. The std::pmr::polymorphic_allocator class serves as the base class for all allocator adaptors in C++. By deriving from this class, you can create custom allocator adaptors that use a specific memory resource for allocation and deallocation.

#include <memory>

class MyAllocatorAdaptor : public std::pmr::polymorphic_allocator<int> {
public:
// Required constructor
MyAllocatorAdaptor(std::pmr::memory_resource* resource) {}

// Other required member functions
};

In the above example, MyAllocatorAdaptor is a custom allocator adaptor that uses a specific memory resource for integer allocation and deallocation.

Worked Example

Let's create a simple program that demonstrates the use of polymorphic allocators and memory resources:

#include <iostream>
#include <vector>
#include <memory>

class MyMemoryResource : public std::pmr::memory_resource {
public:
char* allocate(std::size_t bytes, std::pmr::memory_resource* hint) override {
// Implement custom memory allocation here
auto mem = new char[bytes];
return mem;
}

void deallocate(char* ptr, std::size_t bytes) override {
// Implement custom memory deallocation here
delete[] ptr;
}
};

int main() {
MyMemoryResource myMemoryResource;
std::pmr::monotonic_buffer_resource resource(myMemoryResource);

std::vector<int, std::pmr::polymorphic_allocator<int>> vec(10, 5);

for (const auto& i : vec) {
std::cout << i << " ";
}

return 0;
}

In the above example, we define a custom memory resource MyMemoryResource, which allocates and deallocates memory using new and delete. We then create an instance of this memory resource and use it to create a std::pmr::monotonic_buffer_resource, which is a type of memory resource that provides a fixed-size buffer for allocation. Finally, we create a vector of integers using a custom allocator adaptor that uses our memory resource for allocation and deallocation.

Common Mistakes

  1. Forgetting to override the necessary member functions: In order for your custom allocator or memory resource to function correctly, you must override all required member functions. This includes constructors, destructors, and member functions like allocate, deallocate, construct, and destroy.
  2. Leaking memory: Make sure to properly deallocate memory when it's no longer needed to avoid memory leaks. If you are using a custom allocator or memory resource, ensure that the corresponding deallocation function is called when an object is destroyed or when memory is no longer required.
  3. Incorrectly implementing allocation and deallocation: Ensure that your custom allocation and deallocation functions work as expected, taking into account the size of the requested memory and any alignment requirements. If you are using a custom allocator or memory resource, make sure to implement these functions in a way that is compatible with the rest of your application's codebase.
  4. Misusing the memory resource: Remember that a memory resource is not an allocator; it's used to manage a pool of memory with specific properties. Use it accordingly when creating custom allocators or memory resources, and be mindful of any limitations or requirements imposed by the memory resource you are using.
  5. Not understanding the difference between allocators, memory resources, and allocator adaptors: Allocators manage memory, while memory resources provide a pool of memory with specific properties. Allocator adaptors allow you to wrap an existing allocator with additional functionality that uses a specific memory resource for allocation and deallocation.
  6. Inconsistent naming conventions: Make sure to follow consistent naming conventions when creating custom allocators, memory resources, or allocator adaptors. This will make your code easier to read and maintain over time.
  7. Ignoring exception safety guarantees: When implementing custom allocators or memory resources, be mindful of the exception safety guarantees provided by the STL containers you are using. Ensure that your custom allocator or memory resource can handle exceptions gracefully without introducing data inconsistencies or memory leaks.
  8. Not testing thoroughly: Make sure to thoroughly test your custom allocators and memory resources to ensure they function correctly in a variety of scenarios. This includes testing edge cases, performance characteristics, and compatibility with other libraries or frameworks.

Practice Questions

  1. Write a custom allocator for strings that uses a pre-allocated buffer for string storage.
  • Create a MyStringAllocator class that inherits from std::allocator. Override the necessary member functions to use a pre-allocated buffer for string storage.
  1. Create a custom memory resource that allocates memory using the malloc function and deallocates it using the free function.
  • Create a MyMemoryResource class that inherits from std::pmr::memory_resource. Override the necessary member functions to use malloc for allocation and free for deallocation.
  1. Implement an allocator adaptor that uses your custom memory resource from question 2 for string allocation and deallocation.
  • Create a MyStringAllocatorAdaptor class that inherits from std::pmr::polymorphic_allocator. In the constructor, pass an instance of your custom memory resource (from question 2) to the base class constructor. Override the necessary member functions as needed to use your custom memory resource for string allocation and deallocation.
  1. Write a program that demonstrates the use of your custom allocator and memory resource from questions 1-3.
  • Create a simple program that uses your custom MyStringAllocatorAdaptor and MyMemoryResource to allocate and manage strings in a vector or another STL container. Test the performance characteristics, exception safety guarantees, and compatibility with other libraries or frameworks.
  1. Implement a custom allocator for a custom class MyCustomClass.
  • Create a MyCustomClassAllocator class that inherits from std::allocator. Override the necessary member functions to manage memory for MyCustomClass objects as needed.
  1. Implement a custom memory resource that uses a pre-allocated buffer for allocation and deallocation.
  • Create a PreAllocatedBufferMemoryResource class that inherits from std::pmr::memory_resource. Override the necessary member functions to use a pre-allocated buffer for allocation and deallocation.
  1. Implement an allocator adaptor that uses your custom memory resource (from question 6) for custom class allocation and deallocation.
  • Create a MyCustomClassAllocatorAdaptor class that inherits from std::pmr::polymorphic_allocator. In the constructor, pass an instance of your custom memory resource (from question 6) to the base class constructor. Override the necessary member functions as needed to use your custom memory resource for custom class allocation and deallocation.
  1. Write a program that demonstrates the use of your custom allocator and memory resource from questions 5-7.
  • Create a simple program that uses your custom MyCustomClassAllocatorAdaptor and PreAllocatedBufferMemoryResource to allocate and manage custom class objects in a vector or another STL container. Test the performance characteristics, exception safety guarantees, and compatibility with other libraries or frameworks.

FAQ

What is the purpose of polymorphic allocators in C++?

Polymorphic allocators allow you to customize memory management for your applications, leading to improved performance, reduced memory fragmentation, and easier integration with external libraries. They provide a way to separate the concerns of memory management from the rest of an application's codebase, making it easier to modify, test, and maintain the code over time.

How do I create a custom allocator in C++?

To create a custom allocator, derive from std::allocator and provide an implementation for the required member functions. You can also use allocator adaptors to wrap existing allocators with additional functionality. When creating a custom allocator, be mindful of exception safety guarantees, performance characteristics, and compatibility with other libraries or frameworks.

What is the difference between an allocator and a memory resource in C++?

An allocator manages memory, while a memory resource provides a pool of memory with specific properties. Allocator adaptors allow you to wrap an existing allocator with additional functionality that uses a specific memory resource for allocation and

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