I no longer program in C++ or follow the standard, so I won't be updating this repository in the future. Seeing that only a few minor issues have come up over many years, I consider MemoryPool stable and still a good starting point for your own implementation. Alternatively, you can always use one of the numerous forks.

This is a template class implementation of a memory pool allocator that is very simple to use and extremely fast with minimal overhead for each allocation/deallocation. The provided class is mostly compliant with the C++ Standard Library with a few exceptions (see C++ Compliance for details).

This library uses variadic templates for perfect argument forwarding and some other optimizations, and thus requires C++11 features. There also is a C++98 version, but the C++11 version has better memory management.

You would normally use malloc or new for dynamic memory management in C/C++. These functions are rather slow and have some memory overhead attached to them. This is fine if you make a few calls and ask for large chunks of memory, but if you need to store many small objects, the time and memory overhead may be unacceptable for high performance programs. This is where a memory pool comes in. A memory pool allocates memory in big chunks and splits the memory into smaller pieces. Every time you request memory, one of these small chunks is returned instead making a call to the OS or the heap allocator. You can only use a memory pool if you know the size of the objects beforehand, but if you do, a memory pool has a lot of advantages:

• It is substantially faster than malloc or new
• There is almost no memory overhead since the size of each object is known beforehand (i.e. no need to store allocation metadata)
• There is little to no memory fragmentation
• You do not need to free object one by one. The allocator will free all the memory it allocated once its destructor is called. Note that this only works if the objects have a default destructor.

A memory pool has just a few disadvantages:

• Objects have a fixed size which must be known beforehand. This is usually not a problem and mostly the case if you need to allocate them in a bunch
• You may need to fine tune them for your specific application. This is made very easy with the use of template classes.

You should use a memory pool when you need to allocate many objects of the same size. This is usually the case when you implement common data structures like linked lists, binary search trees, hash tables with chaining and so on. Using a memory pool in these cases will increase performance by several folds and reduce wasted memory substantially.

MemoryPool is mostly compliant with the C++ Standard Library allocators. This means you can use it with allocator_traits ([see here] (https://www.cplusplus.com/reference/memory/allocator_traits/)) or just like you would use the std::allocator ([see here] (https://www.cplusplus.com/reference/memory/allocator/)). There are some differences though:

• MemorPool cannot allocate multiple objects with a single call to allocate and will simply ignore the count value you pass to the allocate/deallocate function. Fixing this is not too hard, but it would deteriorate performance and create memory fragmentation.
• This is NOT thread safe. You should create a different instance for each thread (suggested) or find some way of scheduling queries to the allocator.

Put MemoryPool.h and MemoryPool.tcc into your project folder and include MemoryPool.h into your project. Do not forget to enable C++11 features (for example, with the -std=c++11 flag if you use GCC). These files define a single template class in the common namespace:

template <typename T, size_t BlockSize = 4096>

Here, T is the type of the objects you want to allocate and BlockSize is the size of the chunks MemoryPool allocates (see [Picking BlockSize] (#picking-blocksize) for more information). T can be any object, while BlockSize needs to be at least twice the size of T. After that, you create an instance of MemoryPool class and use it just like a standard allocator object. Here is an example:

#include <iostream>
#include "MemoryPool.h"

int main()
{
  MemoryPool<size_t> pool;
  size_t* x = pool.allocate();
  
  *x = 0xDEADBEEF;
  std::cout << std::hex << *x << std::endl;
  
  pool.deallocate(x);
  return 0;
}

Normally, if T is a class that has a non-default constructor, you need to call MemoryPool.construct(pointer) on the returned pointer before use and MemoryPool.destroy(pointer) after. Apart from the standard allocator functions, MemoryPool defines two new functions: newElement(Args...) and deleteElement(pointer). These functions behave just like the standard new and delete functions and eliminate the need to call constructors and destructors separately. The only difference is that they can only allocate space for a type T object. We can rewrite the code above using these functions (we did not use them since size_t does not need to be constructed):

#include <iostream>
#include "MemoryPool.h"

int main()
{
  MemoryPool<size_t> pool;
  size_t* x = pool.newElement();
  
  *x = 0xDEADBEEF;
  std::cout << std::hex << *x << std::endl;
  
  pool.deleteElement(x);
  return 0;
}

The Args in newElement is whatever you would pass to the constructor of T (magic of C++11 perfect forwarding).

For more information, see the reference to [allocator_traits] (https://www.cplusplus.com/reference/memory/allocator_traits/) or the [standard allocator] (https://www.cplusplus.com/reference/memory/allocator/).

More examples are provided with the code.

BlockSize is the size of the chunks in bytes the allocator will ask from the system. It has to be large enough to contain at least two pointers or two T objects, depending on which is bigger.

Picking the correct BlockSize is essential for good performance. I suggest you pick a power of two, which may decrease memory fragmentation depending on your system. Also, make sure that BlockSize is at least several hundred times larger than the size of T for maximum performance. The idea is, the greater the BlockSize, the less calls to malloc the library will make. However, picking a size too big might increase memory usage unnecessarily and actually decrease the performance because malloc may need to make many system calls.

For objects that contain several pointers, the default size of 4096 bytes should be good. If you need bigger object, you may need to time your code with larger sizes and see what works best. Unless you will be maintaining many MemoryPool objects, I do not think you need to go smaller than 4096 bytes. Though if you are working on a more limited platform (that has a copiler with C++11 support), you may need to go for smaller values.

Here are a few important points that you should know about the code:

• This code handles alignment for the objects automatically, which is necessary for high performance memory access and may even be required on certain processors. However, it assumes the memory returned by operator new is "aligned enough" to store a pointer. This assumption was not necessary, but since it is reasonable enough, I decided to remove two lines of code. I am not sure if this is required by the standard, but all C code using malloc would crash (or run extremely slowly) if this was not the case.

• The allocator does not free any memory until it is destructed (though it does re-use the memory that you deallocate). This is fine if you only allocate objects, or if you deallocate and re-allocate objects equally often. This is only a problem if you have peaks of high memory usage and you expect the memory to be freed during low memory periods. This was a design choice to substantially improve the performance, and under most cases you do not need to worry about this. It is good to keep this mind for projects that require special handling of the memory though.

This code is distributed under the MIT License, which is reproduced below and at the top of the project files. This pretty much means you can do whatever you want with the code, but I will not be liable for ANY kind of damage that this code might cause. Here is the full license which you should read before using the code:

Copyright (c) 2013 Cosku Acay, https://www.coskuacay.com

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

I am open to any type of suggestions, bug reports, or requests for the code. You can also contact me for any questions. Either email me at [email protected] or visit my [website] (https://www.coskuacay.com) for more information.