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An Efficient C++ Fixed Block Memory Allocator

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28 Mar 2016CPOL
A fixed block memory allocator that increases system performance and offers heap fragmentation fault protection

Introduction

Custom fixed block memory allocators are used to solve at least two types of memory related problems. First, global heap allocations/deallocations can be slow and nondeterministic. You never know how long the memory manager is going to take. Secondly, to eliminate the possibility of a memory allocation fault caused by a fragmented heap – a valid concern, especially on mission-critical type systems.

Even if the system isn't considered mission-critical, some embedded systems are designed to run for weeks or years without a reboot. Depending on allocation patterns and heap implementation, long-term heap use can lead to heap faults.

The typical solution is to statically declare all objects up front and get rid of dynamic allocation altogether. However, static allocation can waste storage, because the objects, even if they're not actively being used, exist and take up space. In addition, implementing a system around dynamic allocation can offer a more natural design architecture, as opposed to statically declaring all objects.

Fixed block memory allocators are not a new idea. People have been designing various sorts of custom memory allocators for a long time. What I am presenting here is a simple C++ allocator implementation that I've used successfully on a variety of projects.

The solution presented here will:

  • Be faster than the global heap
  • Eliminate heap fragmentation memory faults
  • Require no additional storage overhead (except for a few bytes of static memory)
  • Be easy to use
  • Use minimal code space

A simple class that dispenses and reclaims memory will provide all of the aforementioned benefits, as I'll show.

After reading this article, be sure to read the follow-on article "Replace malloc/free with a Fast Fixed Block Memory Allocator" to see how Allocator is used to create a really fast malloc() and free() CRT replacement.

Storage Recycling

The basic philosophy of the memory management scheme is to recycle memory obtained during object allocations. Once storage for an object has been created, it's never returned to the heap. Instead, the memory is recycled, allowing another object of the same type to reuse the space. I've implemented a class called Allocator that expresses the technique.

When the application deletes using Allocator, the memory block for a single object is freed for use again but is not actually released back to the memory manager. Freed blocks are retained in a linked list, called the free-list, to be doled out again for another object of the same type. On every allocation request, Allocator first checks the free-list for an existing memory block. Only if none are available is a new one created. Depending on the desired behavior of Allocator, storage comes from either the global heap or a static memory pool with one of three operating modes:

  1. Heap blocks
  2. Heap pool
  3. Static pool

Heap vs. Pool

The Allocator class is capable of creating new blocks from the heap or a memory pool whenever the free-list cannot provide an existing one. If the pool is used, you must specify the number of objects up front. Using the total objects, a pool large enough to handle the maximum number of instances is created. Obtaining block memory from the heap, on the other hand, has no such quantity limitations – construct as many new objects as storage permits.

The heap blocks mode allocates from the global heap a new memory block for a single object as necessary to fulfill memory requests. A deallocation puts the block into a free list for later reuse. Creating fresh new blocks off the heap when the free-list is empty frees you from having to set an object limit. This approach offers dynamic-like operation since the number of blocks can expand at run-time. The disadvantage is a loss of deterministic execution during block creation.

The heap pool mode creates a single pool from the global heap to hold all blocks. The pool is created using operator new when the Allocator object is constructed. Allocator then provides blocks of memory from the pool during allocations.

The static pool mode uses a single memory pool, typically located in static memory, to hold all blocks. The static memory pool is not created by Allocator but instead is provided by the user of the class.

The heap pool and static pool modes offers consistent allocation execution times because the memory manager is never involved with obtaining individual blocks. This makes a new operation very fast and deterministic.

Class Design

The class interface is really straightforward. Allocate() returns a pointer to a memory block and Deallocate() frees the memory block for use again. The constructor is responsible for setting the object size and, if necessary, allocating a memory pool.

The arguments passed into the class constructor determine where the new blocks will be obtained. The size argument controls the fixed memory block size. The objects argument sets how many blocks are allowed. 0 means get new blocks from the heap as necessary, whereas any other non-zero value indicates using a pool, heap or static, to handle the specified number of instances. The memory argument is a pointer to a optional static memory. If memory is 0 and objects is not 0, Allocator will create a pool from the heap. The static memory pool must be size x objects bytes in size. The name argument optionally gives the allocator a name, which is useful for gather allocator usage metrics.

class Allocator
{
public:
    Allocator(size_t size, UINT objects=0, CHAR* memory=NULL, const CHAR* name=NULL);
...

The examples below show how each of the three operational mode is controlled via the constructor arguments.

// Heap blocks mode with unlimited 100 byte blocks
Allocator allocatorHeapBlocks(100);

// Heap pool mode with 20, 100 byte blocks
Allocator allocatorHeapPool(100, 20);

// Static pool mode with 20, 100 byte blocks
char staticMemoryPool[100 * 20];
Allocator allocatorStaticPool(100, 20, staticMemoryPool);

To simplify the static pool method somewhat, a simple AllocatorPool<> template class is used. The first template argument is block type and the second argument is the block quantity.

// Static pool mode with 20 MyClass sized blocks 
AllocatorPool<MyClass, 20> allocatorStaticPool2;

By calling Allocate(), a pointer to a memory block the size of one instance is returned. When obtaining the block, the free-list is checked to determine if a fee block already exists. If so, just unlink the existing block from the free-list and return a pointer to it; otherwise create a new one from the pool/heap.

void* memory1 = allocatorHeapBlocks.Allocate(100);

Deallocate() just pushes the block address onto a stack. The stack is actually implemented as a singly linked list (the free-list), but the class only adds/removes from the head so the behavior is that of a stack. Using a stack makes the allocation/deallocations really fast. No searching through a list – just push or pop a block and go.

allocatorHeapBlocks.Deallocate(memory1);

Now comes a handy for linking blocks together in the free-list without consuming any extra storage for the pointers. If, for example, we use the global operator new, storage is allocated first then the constructor is called. The destruction process is just the reverse; destructor is called, then memory freed. After the destructor is executed, but before the storage is released back to the heap, the memory is no longer being utilized by the object and is freed to be used for other things, like a next pointer. Since the Allocator class needs to keep the deleted blocks around, during operator delete we put the list's next pointer in that currently unused object space. When the block is reused by the application, the pointer is no longer needed and will be overwritten by the newly formed object. This way, there is no per-instance storage overhead incurred.

Using freed object space as the memory to link blocks together means the object must be large enough to hold a pointer. The code in the constructor initializer list ensures the minimum block size is never below the size of a pointer.

The class destructor frees the storage allocated during execution by deleting the memory pool or, if blocks were obtained off the heap, by traversing the free-list and deleting each block. Since the Allocator class is typically used as a class scope static, it will only be called upon termination of the program. For most embedded devices, the application is terminated when someone yanks the power from the system. Obviously, in this case, the destructor is not required.

If you're using the heap blocks method, the allocated blocks cannot be freed when the application terminates unless all the instances are checked into the free-list. Therefore, all outstanding objects must be "deleted" before the program ends. Otherwise, you've got yourself a nice memory leak. Which brings up an interesting point. Doesn't Allocator have to track both the free and used blocks? The short answer is no. The long answer is that once a block is given to the application via a pointer, it then becomes the application's responsibility to return that pointer to Allocator by means of a call to Deallocate() before the program ends. This way, we only need to keep track of the freed blocks.

Using the Code

I wanted Allocator to be extremely easy to use, so I created macros to automate the interface within a client class. The macros provide a static instance of Allocator and two member functions: operator new and operator delete. By overloading the new and delete operators, Allocator intercepts and handles all memory allocation duties for the client class.

The DECLARE_ALLOCATOR macro provides the header file interface and should be included within the class declaration like this:

#include "Allocator.h"
class MyClass
{
    DECLARE_ALLOCATOR
    // remaining class definition
};

The operator new function calls Allocator to create memory for a single instance of the class. After the memory is allocated, by definition, the operator new calls the appropriate constructor for the class. When overloading new only the memory allocation duties can be taken over. The constructor call is guaranteed by the language. Similarly, when deleting an object, the system first calls the destructor for us, and then operator delete is executed. The operator delete uses the Deallocate() function to store the memory block in the free-list.

Among C++ programmers, it's relatively common knowledge that when deleting a class using a base pointer, the destructor should be declared virtual. This ensures that when deleting a class, the correct derived destructor is called. What is less apparent, however, is how the virtual destructor changes which class's overloaded operator delete is called.

Although not explicitly declared, the operator delete is a static function. As such, it cannot be declared virtual. So at first glance, one would assume that deleting an object with a base pointer couldn't be routed to the correct class. After all, calling an ordinary static function with a base pointer will invoke the base member's version. However, as we know, calling an operator delete first calls the destructor. With a virtual destructor, the call is routed to the derived class. After the class's destructor executes, the operator delete for that derived class is called. So in essence, the overloaded operator delete was routed to the derived class by way of the virtual destructor. Therefore, if deletes using a base pointer are performed, the base class destructor must be declared virtual. Otherwise, the wrong destructor and overloaded operator delete will be called.

The IMPLEMENT_ALLOCATOR macro is the source file portion of the interface and should be placed in file scope.

IMPLEMENT_ALLOCATOR(MyClass, 0, 0)

Once the macros are in place, the caller can create and destroy instances of this class and deleted object stored will be recycled:

MyClass* myClass = new MyClass();
delete myClass;

Both single and multiple inheritance situations work with the Allocator class. For example, assuming the class Derived inherits from class Base the following code fragment is legal.

Base* base = new Derived;
delete base;

Run Time

At run time, Allocator will initially have no blocks within the free-list, so the first call to Allocate() will get a block from the pool or heap. As execution continues, the system demand for objects of any given allocator instance will fluctuate and new storage will only be allocated when the free-list cannot offer up an existing block. Eventually, the system will settle into some peak number of instances so that each allocation will be obtained from existing blocks instead of the pool/heap.

Compared to obtaining all blocks using the memory manager, the class saves a lot of processing power. During allocations, a pointer is just popped off the free-list, making it extremely quick. Deallocations just push a block pointer back onto the list, which is equally as fast.

Benchmarking

Benchmarking the Allocator performance vs. the global heap on a Windows PC shows just how fast the class is. An basic test of allocating and deallocating 20000 4096 and 2048 sized blocks in a somewhat interleaved fashion tests the speed improvement. See the attached source code for the exact algorithm. 

Windows Allocation Times in Milliseconds

AllocatorModeRunBenchmark Time (mS)
Global HeapDebug Heap11640
Global HeapDebug Heap21864
Global HeapDebug Heap31855
Global HeapRelease Heap155
Global HeapRelease Heap247
Global HeapRelease Heap347
AllocatorStatic Pool119
AllocatorStatic Pool27
AllocatorStatic Pool37
AllocatorHeap Blocks130
AllocatorHeap Blocks27
AllocatorHeap Blocks37

Windows uses a debug heap when executing within the debugger. The debug heap adds extra safety checks slowing its performance. The release heap is much faster as the checks are disabled. The debug heap can be disabled within Visual Studio by setting _NO_DEBUG_HEAP=1 in the Debugging > Environment project option. 

The debug global heap is predictably the slowest at about 1.8 seconds. The release heap is much faster at ~50mS. This benchmark test is very simplistic and a more realistic scenario with varying blocks sizes and random new/delete intervals might produce different results. However, the basic point is illustrated nicely; the memory manager is slower than allocator and highly dependent on the platform's implementation.

The Allocator running in static pool mode doesn't rely upon the heap. This has a fast execution time of around 7mS once the free-list is populated with blocks. The 19mS on Run 1 accounts for dicing up the fixed memory pool into individual blocks on the first run. 

The Allocator running heap blocks mode is just as fast once the free-list is populated with blocks obtained from the heap. Recall that the heap blocks mode relies upon the global heap to get new blocks, but then recycles them into the free-list for later use. Run 1 shows the allocation hit creating the memory blocks at 30mS. Subsequent benchmarks clock in a very fast 7mS since the free-list is fully populated. 

As the benchmarking shows, the Allocator is highly efficient and about seven times faster than the Windows global release heap.

For comparison on an embedded system, I ran the same tests using Keil running on an ARM STM32F4 CPU at 168MHz. I had to lower the maximum blocks to 500 and the blocks sizes to 32 and 16 bytes due to the constrained resources. Here are the results.

ARM STM32F4 Allocation Times in Milliseconds

AllocatorModeRunBenchmark Time (mS)
Global HeapRelease111.6
Global HeapRelease 211.6
Global HeapRelease 311.6
AllocatorStatic Pool10.85
AllocatorStatic Pool20.79
AllocatorStatic Pool30.79
AllocatorHeap Blocks11.19
AllocatorHeap Blocks20.79
AllocatorHeap Blocks30.79

As the ARM benchmark results show, the Allocator class is about 15 times faster which is quite significant. It should be noted that the benchmark test really aggravated the Keil heap. The benchmark test allocates, in the ARM case, 500 16-byte blocks. Then every other 16-byte block is deleted followed by allocating 500 32-byte blocks. That last group of 500 allocations added 9.2mS to the overall 11.6mS time. What this says is that when the heap gets fragmented, you can expect the memory manager to take longer with non-deterministic times.

Allocator Decisions

The first decision to make is do you need an allocator at all. If you don't have an execution speed or fault-tolerance requirement for your project, you probably don't need a custom allocator and the global heap will work just fine.

On the other hand, if you do require speed and/or fault-tolerance, the allocator can help and the mode of operation depends on your project requirements. An architect for a mission critical design may forbid all use of the global heap. Yet dynamic allocation may lead to a more efficient or elegant design. In this case, you could use the heap blocks mode during debug development to gain memory usage metrics, then for release switch to the static pool method to create statically allocated pools thus eliminating all global heap access. A few compile-time macros switch between the modes.

Alternatively, the heap blocks mode may be fine for the application. It does utilize the heap to obtain new blocks, but does prevent heap-fragmentation faults and speeds allocations once the free-list is populated with enough blocks.

While not implemented in the source code due to multi-threaded issues outside the scope of this article, it is easy have the Allocator constructor keep a static list of all constructed instances. Run the system for a while, then at some pointer iterate through all allocators and output metrics like block count and name via the GetBlockCount() and GetName() functions. The usage metrics provide information on sizing the fixed memory pool for each allocator when switching over to a memory pool. Always add a few more blocks than maximum measured block count to give the system some added resiliency against the pool running out of memory.

Debugging Memory Leaks

Debugging memory leaks can be very difficult, mostly because the heap is a black box with no visibility into the types and sizes of objects allocated. With Allocator, memory leaks are a bit easier to find since the Allocator tracks the total block count. Repeatedly output (to the console for example) the GetBlockCount() and GetName() for each allocator instance and comparing the differences should expose the allocator with an ever increasing block count.

Error Handling

Allocation errors in C++ are typically caught using the new-handler function. If the memory manager faults while attempting to allocate memory off the heap, the user's error-handling function is called via the new-handler function pointer. By assigning the user's function address to the new-handler, the memory manager is able to call a custom error-handling routine. To make the Allocator class's error handling consistent, allocations that exceed the pool's storage capacity also call the function pointed to by new-handler, centralizing all memory allocation faults in one place.

static void out_of_memory()
{
    // new-handler function called by Allocator when pool is out of memory
    assert(0);
}

int _tmain(int argc, _TCHAR* argv[])
{
    std::set_new_handler(out_of_memory);
...

Limitations

The class does not support arrays of objects. An overloaded operator new[] poses a problem for the object recycling method. When this function is called, the size_t argument contains the total memory required for all of the array elements. Creating separate storage for each element is not an option because multiple calls to new don't guarantee that the blocks are within a contiguous space, which an array needs. Since Allocator only handles same size blocks, arrays are not allowed.

Porting Issues

Allocator calls the new_handler() directly when the static pool runs out of storage, which may not be appropriate for some systems. This implementation assumes the new-handler function will not return, such as an infinite loop trap or assertion, so it makes no sense to call the handler if the function resolves allocation failures by compacting the heap. A fixed pool is being used and no amount of compaction will remedy that.

Reference articles

Replace malloc/free with a Fast Fixed Block Memory Allocator to see how Allocator is used to create a really fast malloc() and free() CRT replacement.

History

  • 9th March, 2016
    • First release
  • 11th March, 2016
  • 13th March, 2016
    •  Updated Benchmarking section to include Windows debug heap, non-debug heap and Keil ARM STM32F4 times.
    • New source code zip file. 
  • 28th March, 2016
    • Updated attached source code to help with porting. 

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

David Lafreniere
United States United States
I've been a professional software engineer for over 20 years. When not writing code, I enjoy spending time with the family, camping and riding motorcycles around Southern California.

Comments and Discussions

 
QuestionMyClass* myClass2 = new MyClass[2]; delete[] myClass2; => not working?!?! Pin
ehaerim30-Oct-19 8:33
Memberehaerim30-Oct-19 8:33 
AnswerRe: MyClass* myClass2 = new MyClass[2]; delete[] myClass2; => not working?!?! Pin
ehaerim19-Nov-19 7:18
Memberehaerim19-Nov-19 7:18 
QuestionUsing alloator across the threads Pin
lesinar20-Nov-16 5:05
Memberlesinar20-Nov-16 5:05 
AnswerRe: Using alloator across the threads Pin
David Lafreniere20-Nov-16 6:34
MemberDavid Lafreniere20-Nov-16 6:34 
QuestionNeed to use Allocator for exported class Pin
ehaerim3-Apr-16 9:36
Memberehaerim3-Apr-16 9:36 
AnswerRe: Need to use Allocator for exported class Pin
David Lafreniere4-Apr-16 13:23
MemberDavid Lafreniere4-Apr-16 13:23 
PraiseNice article!! Pin
Bharath NS29-Mar-16 12:40
MemberBharath NS29-Mar-16 12:40 
GeneralRe: Nice article!! Pin
David Lafreniere30-Mar-16 13:29
MemberDavid Lafreniere30-Mar-16 13:29 
GeneralRe: Nice article!! Pin
alexissizla11-Jun-16 21:33
Memberalexissizla11-Jun-16 21:33 
GeneralRe: Nice article!! Pin
David Lafreniere12-Jun-16 3:00
MemberDavid Lafreniere12-Jun-16 3:00 
QuestionIsValidBlock would be useful Pin
ehaerim28-Mar-16 16:19
Memberehaerim28-Mar-16 16:19 
AnswerRe: IsValidBlock would be useful Pin
David Lafreniere30-Mar-16 13:37
MemberDavid Lafreniere30-Mar-16 13:37 
QuestionWhat if a pool size is not known in advance but determined later on? Pin
ehaerim26-Mar-16 16:10
Memberehaerim26-Mar-16 16:10 
AnswerRe: What if a pool size is not known in advance but determined later on? Pin
David Lafreniere28-Mar-16 5:41
MemberDavid Lafreniere28-Mar-16 5:41 
QuestionWrong Measurements? Pin
Alois Kraus12-Mar-16 4:40
MemberAlois Kraus12-Mar-16 4:40 
AnswerRe: Wrong Measurements? Pin
David Lafreniere12-Mar-16 9:16
MemberDavid Lafreniere12-Mar-16 9:16 
AnswerRe: Wrong Measurements? Pin
David Lafreniere13-Mar-16 7:55
MemberDavid Lafreniere13-Mar-16 7:55 
GeneralRe: Wrong Measurements? Pin
Alois Kraus13-Mar-16 21:40
MemberAlois Kraus13-Mar-16 21:40 
Questionthank you, for gives me interesting ideas Pin
samsom8-Mar-16 15:34
Membersamsom8-Mar-16 15:34 
AnswerRe: thank you, for gives me interesting ideas Pin
David Lafreniere9-Mar-16 0:27
MemberDavid Lafreniere9-Mar-16 0:27 
QuestionCompatible with STD? Pin
pip0108-Mar-16 4:26
Memberpip0108-Mar-16 4:26 
AnswerRe: Compatible with STD? Pin
David Lafreniere8-Mar-16 14:00
MemberDavid Lafreniere8-Mar-16 14:00 
QuestionSource code? Pin
Martin Capoušek6-Mar-16 22:51
MemberMartin Capoušek6-Mar-16 22:51 
AnswerRe: Source code? Pin
David Lafreniere7-Mar-16 1:13
MemberDavid Lafreniere7-Mar-16 1:13 

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Posted 6 Mar 2016

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