Stack-based memory allocation
Stacks in computing architectures are regions of memory where data is added or removed in a last-in-first-out (LIFO) manner.
In most modern computer systems, each thread has a reserved region of memory referred to as its stack. When a function executes, it may add some of its state data to the top of the stack; when the function exits it is responsible for removing that data from the stack. At a minimum, a thread's stack is used to store the location of function calls in order to allow return statements to return to the correct location, but programmers may further choose to explicitly use the stack. If a region of memory lies on the thread's stack, that memory is said to have been allocated on the stack, i.e. stack-based memory allocation.
Advantages and disadvantages
Because the data is added and removed in a last-in-first-out manner, stack-based memory allocation is very simple and typically faster than heap-based memory allocation (also known as dynamic memory allocation). Another feature is that memory on the stack is automatically, and very efficiently, reclaimed when the function exits, which can be convenient for the programmer if the data is no longer required.[1] (The same applies to longjmp if it moved to a point before the call to alloca
happened.) If however, the data needs to be kept in some form, then it must be copied from the stack before the function exits. Therefore, stack based allocation is suitable for temporary data or data which is no longer required after the creating function exits.
A thread's assigned stack size can be as small as only a few bytes on some small CPUs. Allocating more memory on the stack than is available can result in a crash due to stack overflow. This is also why functions that use alloca
are usually prevented from being inlined:[2] should such a function be inlined into a loop, the caller would suffer from an unanticipated growth in stack usage, making an overflow much more likely.
Stack-based allocation may also cause minor performance problems: it leads to variable-size stack frames, so that both stack and frame pointers need to be managed (with fixed-size stack frames, one of these is redundant). This is usually much less costly than calling malloc
and free
anyway.
System interface
Many Unix-like systems as well as Microsoft Windows implement a function called alloca
for dynamically allocating stack memory in a way similar to the heap-based malloc
. A compiler typically translates it to inlined instructions manipulating the stack pointer, similar to how variable-length arrays are handled.[3] Although there is no need to explicitly free the memory, there is a risk of undefined behavior due to stack overflow.[4] The function was present on Unix systems as early as 32/V (1978), but is not part of Standard C or any POSIX standard.
A safer version of alloca
called _malloca
, which reports errors, exists on Microsoft Windows. It requires the use of _freea
.[5] gnulib provides an equivalent interface, albeit instead of throwing an SEH exception on overflow, it delegates to malloc
when an overlarge size is detected.[6] A similar feature can be emulated using manual accounting and size-checking, such as in the uses of alloca_account
in glibc.[7]
Some processor families, such as the x86, have special instructions for manipulating the stack of the currently executing thread. Other processor families, including PowerPC and MIPS, do not have explicit stack support, but instead rely on convention and delegate stack management to the operating system's application binary interface (ABI).
References
- "Advantages of Alloca". The GNU C Library.
- "Inline". Using the GNU Compiler Collection (GCC).
- – Linux Programmer's Manual – Library Functions
- "Why is the use of alloca() not considered good practice?". stackoverflow.com. Retrieved 2016-01-05.
- "_malloca". Microsoft CRT Documentation.
- "gnulib/malloca.h". GitHub. Retrieved 24 November 2019.
- "glibc/include/alloca.h". Beren Minor's Mirrors. 23 November 2019.
See also
- Automatic variable
- Static variable
- Call stack
- Dynamic memory allocation
- Stack buffer overflow
- Stack machine
- Stack overflow