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Memory footprint refers to the amount of main memory that a program uses or references while running.[1]
The word footprint generally refers to the extent of physical dimensions that an object occupies, giving a sense of its size. In computing, the memory footprint of a software application indicates its runtime memory requirements, while the program executes. This includes all sorts of active memory regions like code segment containing (mostly) program instructions (and occasionally constants), data segment (both initialized and uninitialized),[1] heap memory, call stack, plus memory required to hold any additional data structures, such as symbol tables, debugging data structures, open files, shared libraries mapped to the current process, etc., that the program ever needs while executing and will be loaded at least once during the entire run.[2]
Larger programs have larger memory footprints. An application's memory footprint is roughly proportionate to the number and sizes of shared libraries or classes it loads, whereas static libraries, executable programs and static data areas contribute to a fixed (constant) portion. Programs themselves often do not contribute the largest portions to their own memory footprints; rather, structures introduced by the run-time environment take up most of the memory. For example, a C++ compiler inserts vtables, type info objects and many temporary and anonymous objects that are active during a program's execution. In a Java program, the memory footprint is predominantly made up of the runtime environment in the form of Java virtual machine (JVM) itself that is loaded indirectly when a Java application launches. In addition, on most operating systems, disk files opened by an application too are read into the application's address space, thereby, contributing to its footprint.
^ ab"Definition of: memory footprint". PC Mag. Retrieved 1 August 2012.
^"Reduce your Linux memory footprint". IBM developerWorks. Retrieved 1 August 2012.
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