Question

Suppose I have a memory pool object with a constructor that takes a pointer to a large chunk of memory ptr and size N. If I do many random allocations and deallocations of various sizes I can get the memory in such a state that I cannot allocate an M byte object contiguously in memory even though there may be a lot free! At the same time, I can’t compact the memory because that would cause a dangling pointer on the consumers. How does one resolve fragmentation in this case?

Answer 1

I wanted to add my 2 cents only because no one else pointed out that from your description it sounds like you are implementing a standard heap allocator (i.e what all of us already use every time when we call malloc() or operator new).

A heap is exactly such an object, that goes to virtual memory manager and asks for large chunk of memory (what you call “a pool”). Then it has all kinds of different algorithms for dealing with most efficient way of allocating various size chunks and freeing them. Furthermore, many people have modified and optimized these algorithms over the years. For long time Windows came with an option called low-fragmentation heap (LFH) which you used to have to enable manually. Starting with Vista LFH is used for all heaps by default.

Heaps are not perfect and they can definitely bog down performance when not used properly. Since OS vendors can’t possibly anticipate every scenario in which you will use a heap, their heap managers have to be optimized for the “average” use. But if you have a requirement which is similar to the requirements for a regular heap (i.e. many objects, different size….) you should consider just using a heap and not reinventing it because chances are your implementation will be inferior to what OS already provides for you.

With memory allocation, the only time you can gain performance by not simply using the heap is by giving up some other aspect (allocation overhead, allocation lifetime….) which is not important to your specific application.

For example, in our application we had a requirement for many allocations of less than 1KB but these allocations were used only for very short periods of time (milliseconds). To optimize the app, I used Boost Pool library but extended it so that my “allocator” actually contained a collection of boost pool objects, each responsible for allocating one specific size from 16 bytes up to 1024 (in steps of 4). This provided almost free (O(1) complexity) allocation/free of these objects but the catch is that a) memory usage is always large and never goes down even if we don’t have a single object allocated, b) Boost Pool never frees the memory it uses (at least in the mode we are using it in) so we only use this for objects which don’t stick around very long.

So which aspect(s) of normal memory allocation are you willing to give up in your app?