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Conventional knowledge says that the system’s memory allocation routines (e.g., malloc() and new()) are slow and that customized allocation routines for objects which are often allocated or freed can provide a measurable performance acquire. Nevertheless, this conventional wisdom appears to be incorrect. Wilson et al. (1995), Johnstone and Wilson (1999), and Berger, Zorn, and McKinley (2001, 2002) all investigated the performance impression of memory allocation in actual-world purposes and found that customized allocators almost always end in worse performance than a nicely-tuned generic system memory allocation, in both execution time and memory use. One sort of custom allocation technique that has proved to be helpful in some cases is enviornment-primarily based allocation, which allows the person to rapidly allocate objects from a large contiguous area of memory. On this scheme, individual objects are never explicitly freed
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