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A simple memory pool module can allocate, for example, three pools at compile time with block sizes optimized for the application deploying the module. The application can allocate, access and free memory through the following interface: Allocate memory from the pools. The function will determine the pool where the required block fits in.
A guard page typically halts the program, preventing memory corruption, but functions with large stack frames may bypass the page, and kernel code may not have the benefit of guard pages. Heap exhaustion – the program tries to allocate more memory than the amount available. In some languages, this condition must be checked for manually after ...
Stop-and-copy garbage collection in a Lisp architecture: [1] Memory is divided into working and free memory; new objects are allocated in the former. When it is full (depicted), garbage collection is performed: All data structures still in use are located by pointer tracing and copied into consecutive locations in free memory.
Cyclic reference - The Twin pattern relies on each twin referencing the other twin, which causes a cyclic reference scenario. Some languages may require such cyclic references to be handled specially to avoid a memory leak. For example, one reference may need to be made 'weak' to allow the cycle to break.
Data thus structured are said to be blocked. The process of putting data into blocks is called blocking, while deblocking is the process of extracting data from blocks. Blocked data is normally stored in a data buffer, and read or written a whole block at a time. Blocking reduces the overhead and speeds up the handling of the data stream. [3]
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In a general computing sense, overlaying means "the process of transferring a block of program code or other data into main memory, replacing what is already stored". [1] Overlaying is a programming method that allows programs to be larger than the computer's main memory. [2]
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