C dynamic memory allocation

C dynamic memory allocation refers to performing manual memory management for dynamic memory allocation in the C programming language via a group of functions in the C standard library, namely malloc, realloc, calloc and free.[1][2][3]

The C++ programming language includes these functions for compatibility with C; however, the operators new and delete provide similar functionality and are recommended by that language's authors.[4]

Many different implementations of the actual memory allocation mechanism, used by malloc, are available. Their performance varies in both execution time and required memory.

Rationale

The C programming language manages memory statically, automatically, or dynamically. Static-duration variables are allocated in main memory, usually along with the executable code of the program, and persist for the lifetime of the program; automatic-duration variables are allocated on the stack and come and go as functions are called and return. For static-duration and automatic-duration variables, the size of the allocation must be compile-time constant (except for the case of variable-length automatic arrays[5]). If the required size is not known until run-time (for example, if data of arbitrary size is being read from the user or from a disk file), then using fixed-size data objects is inadequate.

The lifetime of allocated memory can also cause concern. Neither static- nor automatic-duration memory is adequate for all situations. Automatic-allocated data cannot persist across multiple function calls, while static data persists for the life of the program whether it is needed or not. In many situations the programmer requires greater flexibility in managing the lifetime of allocated memory.

These limitations are avoided by using dynamic memory allocation in which memory is more explicitly (but more flexibly) managed, typically, by allocating it from the free store (informally called the "heap"), an area of memory structured for this purpose. In C, the library function malloc is used to allocate a block of memory on the heap. The program accesses this block of memory via a pointer that malloc returns. When the memory is no longer needed, the pointer is passed to free which deallocates the memory so that it can be used for other purposes.

Some platforms provide library calls which allow run-time dynamic allocation from the C stack rather than the heap (e.g. alloca()[6]). This memory is automatically freed when the calling function ends.

Overview of functions

The C dynamic memory allocation functions are defined in stdlib.h header (cstdlib header in C++).[1]

Function Description
malloc allocates the specified number of bytes
realloc increases or decreases the size of the specified block of memory. Reallocates it if needed
calloc allocates the specified number of bytes and initializes them to zero
free releases the specified block of memory back to the system

Differences between malloc() and calloc()

Usage example

Creating an array of ten integers with automatic scope is straightforward in C:

int array[10];

However, the size of the array is fixed at compile time. If one wishes to allocate a similar array dynamically, the following code can be used:

int * array = malloc(10 * sizeof(int));

This computes the number of bytes that ten integers occupy in memory, then requests that many bytes from malloc and assigns the result to a pointer named array (due to C syntax, pointers and arrays can be used interchangeably in some situations).

Because malloc might not be able to service the request, it might return a null pointer and it is good programming practice to check for this:

int * array = malloc(10 * sizeof(int));
if (NULL == array) {
  fprintf(stderr, "malloc failed\n");
  return(-1);
}

When the program no longer needs the dynamic array, it should call free to return the memory it occupies to the free store:

free(array);

The memory set aside by malloc is not initialized and may contain cruft: the remnants of previously used and discarded data. After allocation with malloc, elements of the array are uninitialized variables. The command calloc will allocate and clear the memory in one step:

int * array = calloc(10, sizeof (int));

allocates a region of memory large enough to hold 10 integers, and sets to zero all the bytes within that memory space.

Type safety

malloc returns a void pointer (void *), which indicates that it is a pointer to a region of unknown data type. The use of casting is required in C++ due to the strong type system, whereas this is not the case in C. The lack of a specific pointer type returned from malloc is type-unsafe behaviour according to some programmers: malloc allocates based on byte count but not on type. This is different from the C++ new operator that returns a pointer whose type relies on the operand. (See C Type Safety.)

One may "cast" (see type conversion) this pointer to a specific type:

int * ptr;
ptr = malloc(10 * sizeof(int));		/* without a cast */
ptr = (int *)malloc(10 * sizeof(int));	/* with a cast */

There are advantages and disadvantages to performing such a cast.

Advantages to casting

Disadvantages to casting

Common errors

The improper use of dynamic memory allocation can frequently be a source of bugs. These can include security bugs or program crashes, most often due to segmentation faults.

Most common errors are as follows:[10]

Not checking for allocation failures
Memory allocation is not guaranteed to succeed, and may instead return a null pointer. Using the returned value, without checking if the allocation is successful, invokes undefined behavior. This usually leads to crash (due to the resulting segmentation fault on the null pointer dereference), but there is no guarantee that a crash will happen so relying on that can also lead to problems.
Memory leaks
Failure to deallocate memory using free leads to buildup of non-reusable memory, which is no longer used by the program. This wastes memory resources and can lead to allocation failures when these resources are exhausted.
Logical errors
All allocations must follow the same pattern: allocation using malloc, usage to store data, deallocation using free. Failures to adhere to this pattern, such as memory usage after a call to free (dangling pointer) or before a call to malloc (wild pointer), calling free twice ("double free"), etc., usually causes a segmentation fault and results in a crash of the program. These errors can be transient and hard to debug – for example, freed memory is usually not immediately reclaimed by the OS, and thus dangling pointers may persist for a while and appear to work.

Implementations

The implementation of memory management depends greatly upon operating system and architecture. Some operating systems supply an allocator for malloc, while others supply functions to control certain regions of data. The same dynamic memory allocator is often used to implement both malloc and the operator new in C++.[11]

Heap-based

See also: sbrk

Implementation of the allocator on IA-32 architectures is commonly done using the heap, or data segment. The allocator will usually expand and contract the heap to fulfill allocation requests.

The heap method suffers from a few inherent flaws, stemming entirely from fragmentation. Like any method of memory allocation, the heap will become fragmented; that is, there will be sections of used and unused memory in the allocated space on the heap. A good allocator will attempt to find an unused area of already allocated memory to use before resorting to expanding the heap. The major problem with this method is that the heap has only two significant attributes: base, or the beginning of the heap in virtual memory space; and length, or its size. The heap requires enough system memory to fill its entire length, and its base can never change. Thus, any large areas of unused memory are wasted. The heap can get "stuck" in this position if a small used segment exists at the end of the heap, which could waste any magnitude of address space, from a few megabytes to a few hundred. On lazy memory allocation schemes, such as those often found in the Linux operating system, a large heap does not necessarily reserve the equivalent system memory; it will only do so at the first write time (reads of non-mapped memory pages return zero). The granularity of this depends on page size.

dlmalloc

Doug Lea has developed dlmalloc ("Doug Lea's Malloc") as a general-purpose allocator, starting in 1987. The GNU C library (glibc) uses ptmalloc,[12] an allocator based on dlmalloc.[13]

Memory on the heap is allocated as "chunks", an 8-byte aligned data structure which contains a header, and usable memory. Allocated memory contains an 8 or 16 byte overhead for the size of the chunk and usage flags. Unallocated chunks also store pointers to other free chunks in the usable space area, making the minimum chunk size 24 bytes.[13]

Unallocated memory is grouped into "bins" of similar sizes, implemented by using a double-linked list of chunks (with pointers stored in the unallocated space inside the chunk).[13]

For requests below 256 bytes (a "smallbin" request), a simple two power best fit allocator is used. If there are no free blocks in that bin, a block from the next highest bin is split in two.

For requests of 256 bytes or above but below the mmap threshold, recent versions of dlmalloc use an in-place bitwise trie algorithm. If there is no free space left to satisfy the request, dlmalloc tries to increase the size of the heap, usually via the brk system call.

For requests above the mmap threshold (a "largebin" request), the memory is always allocated using the mmap system call. The threshold is usually 256 KB.[14] The mmap method averts problems with huge buffers trapping a small allocation at the end after their expiration, but always allocates an entire page of memory, which on many architectures is 4096 bytes in size.[15]

FreeBSD's and NetBSD's jemalloc

Since FreeBSD 7.0 and NetBSD 5.0, the old malloc implementation (phkmalloc) was replaced by jemalloc, written by Jason Evans. The main reason for this was a lack of scalability of phkmalloc in terms of multithreading. In order to avoid lock contention, jemalloc uses separate "arenas" for each CPU. Experiments measuring number of allocations per second in multithreading application have shown that this makes it scale linearly with the number of threads, while for both phkmalloc and dlmalloc performance was inversely proportional to the number of threads.[16]

OpenBSD's malloc

OpenBSD's implementation of the malloc function makes use of mmap. For requests greater in size than one page, the entire allocation is retrieved using mmap; smaller sizes are assigned from memory pools maintained by malloc within a number of "bucket pages," also allocated with mmap.[17] On a call to free, memory is released and unmapped from the process address space using munmap. This system is designed to improve security by taking advantage of the address space layout randomization and gap page features implemented as part of OpenBSD's mmap system call, and to detect use-after-free bugs—as a large memory allocation is completely unmapped after it is freed, further use causes a segmentation fault and termination of the program.

Hoard's malloc

Hoard is an allocator whose goal is scalable memory allocation performance. Like OpenBSD's allocator, Hoard uses mmap exclusively, but manages memory in chunks of 64 kilobytes called superblocks. Hoard's heap is logically divided into a single global heap and a number of per-processor heaps. In addition, there is a thread-local cache that can hold a limited number of superblocks. By allocating only from superblocks on the local per-thread or per-processor heap, and moving mostly-empty superblocks to the global heap so they can be reused by other processors, Hoard keeps fragmentation low while achieving near linear scalability with the number of threads.[18]

Thread-caching malloc (tcmalloc)

Every thread has local storage for small allocations. For large allocations mmap or sbrk can be used. TCMalloc, a malloc developed by Google,[19] has garbage-collection for local storage of dead threads. The TCMalloc is considered to be more than twice as fast as glibc's ptmalloc for multithreaded programs.[20][21]

In-kernel

Operating system kernels need to allocate memory just as application programs do. The implementation of malloc within a kernel often differs significantly from the implementations used by C libraries, however. For example, memory buffers might need to conform to special restrictions imposed by DMA, or the memory allocation function might be called from interrupt context.[22] This necessitates a malloc implementation tightly integrated with the virtual memory subsystem of the operating system kernel.

Overriding malloc

Because malloc and its relatives can have a strong impact on the performance of a program, it is not uncommon to override the functions for a specific application by custom implementations that are optimized for application's allocation patterns. The C standard provides no way of doing this, but operating systems have found various ways to do this by exploiting dynamic linking. One way is to simply link in a different library to override the symbols. Another, employed by Unix System V.3, is to make malloc and free function pointers that an application can reset to custom functions.[23]

Allocation size limits

The largest possible memory block malloc can allocate depends on the host system, particularly the size of physical memory and the operating system implementation. Theoretically, the largest number should be the maximum value that can be held in a size_t type, which is an implementation-dependent unsigned integer representing the size of an area of memory. In the C99 standard and later, it is available as the SIZE_MAX constant from <stdint.h>. Although not guaranteed by ISO C, it is usually 2CHAR_BIT × sizeof(size_t) − 1.

Extensions and alternatives

The C library implementations shipping with various operating systems and compilers may come with alternatives and extensions to the standard malloc package. Notable among these is:

See also

References

  1. 1 2 ISO/IEC 9899:1999 specification (PDF). p. 313, § 7.20.3 "Memory management functions".
  2. Godse, Atul P.; Godse, Deepali A. (2008). Advanced C Programming. p. 6-28: Technical Publications. p. 400. ISBN 978-81-8431-496-0.
  3. Summit, Steve. "C Programming Notes - Chapter 11: Memory Allocation". Retrieved 30 October 2011.
  4. Stroustrup, Bjarne (2008). Programming: Principles and Practice Using C++. 1009, §27.4 Free store: Addison Wesley. p. 1236. ISBN 978-0-321-54372-1.
  5. "gcc manual". gnu.org. Retrieved 14 December 2008.
  6. "alloca". Man.freebsd.org. 5 September 2006. Retrieved 18 September 2011.
  7. 1 2 "Casting malloc". Cprogramming.com. Retrieved 9 March 2007.
  8. http://clang.llvm.org/doxygen/MallocSizeofChecker_8cpp_source.html
  9. "comp.lang.c FAQ list · Question 7.7b". C-FAQ. Retrieved 9 March 2007.
  10. Reek, Kenneth (1997-08-04). Pointers on C (1 edition ed.). Pearson. ISBN 9780673999863.
  11. Alexandrescu, Andrei (2001). Modern C++ Design: Generic Programming and Design Patterns Applied. Addison-Wesley. p. 78.
  12. Wolfram Gloger's malloc homepage
  13. 1 2 3 Kaempf, Michel (2001). "Vudo malloc tricks". Phrack (57): 8. Archived from the original on 22 January 2009. Retrieved 29 April 2009.
  14. "Malloc Tunable Parameters". GNU. Retrieved 2 May 2009.
  15. Sanderson, Bruce (12 December 2004). "RAM, Virtual Memory, Pagefile and all that stuff". Microsoft Help and Support.
  16. Evans, Jason (16 April 2006). "A Scalable Concurrent malloc(3) Implementation for FreeBSD" (PDF). Retrieved 18 March 2012.
  17. "libc/stdlib/malloc.c". BSD Cross Reference, OpenBSD src/lib/.
  18. Berger, E. D.; McKinley, K. S.; Blumofe, R. D.; Wilson, P. R. (November 2000). Hoard: A Scalable Memory Allocator for Multithreaded Applications (PDF). ASPLOS-IX. Proceedings of the ninth international conference on Architectural support for programming languages and operating systems. pp. 117–128. CiteSeerX 10.1.1.1.4174Freely accessible. doi:10.1145/378993.379232. ISBN 1-58113-317-0.
  19. TCMalloc homepage
  20. Ghemawat, Sanjay; Menage, Paul; TCMalloc : Thread-Caching Malloc
  21. Callaghan, Mark (18 January 2009). "High Availability MySQL: Double sysbench throughput with TCMalloc". Mysqlha.blogspot.com. Retrieved 18 September 2011.
  22. "kmalloc()/kfree() include/linux/slab.h". People.netfilter.org. Retrieved 18 September 2011.
  23. Shared libraries.
  24. "Why is the use of alloca() not considered good practice?". stackoverflow.com. Retrieved 2016-01-05.
  25. Amarasinghe, Saman; Leiserson, Charles (2010). "6.172 Performance Engineering of Software Systems, Lecture 10". MIT OpenCourseWare. Massachusetts Institute of Technology. Retrieved 27 January 2015.
  26. "alloca(3) - Linux manual page". man7.org. Retrieved 2016-01-05.
  27. posix_memalign  System Interfaces Reference, The Single UNIX® Specification, Issue 7 from The Open Group

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