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Standard knowledge says that the system’s memory allocation routines (e.g., malloc() and new()) are sluggish and that customized allocation routines for objects which are incessantly allotted or freed can provide a measurable efficiency gain. Nevertheless, this standard knowledge appears to be unsuitable. Wilson et al. (1995), Johnstone and Wilson (1999), and Berger, Zorn, and McKinley (2001, 2002) all investigated the efficiency impact of memory allocation in real-world purposes and located that custom allocators virtually always result in worse efficiency than a well-tuned generic system memory allocation, in each execution time and memory use. One type of customized allocation technique that has proved to be helpful in some instances is arena-based allocation, which allows the person to shortly allocate objects from a big contiguous area of memory. On this scheme, particular person objects are never explicitly freed
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