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  2. Slab allocation - Wikipedia

    en.wikipedia.org/wiki/Slab_allocation

    The three allocators provides a kind of front-end to the zoned buddy allocator for those sections of the kernel that require more flexible memory allocation than the standard 4 KB page size). NetBSD (introduced in 4.0) Solaris (introduced in 2.4) The Perl 5 compiler uses a slab allocator for internal memory management [10] [11]

  3. Region-based memory management - Wikipedia

    en.wikipedia.org/wiki/Region-based_memory_management

    This work was completed in 1995 [9] and integrated into the ML Kit, a version of ML based on region allocation in place of garbage collection. This permitted a direct comparison between the two on medium-sized test programs, yielding widely varying results ("between 10 times faster and four times slower") depending on how "region-friendly" the ...

  4. Memory pool - Wikipedia

    en.wikipedia.org/wiki/Memory_pool

    Fixed-size block memory pools do not need to store allocation metadata for each allocation, describing characteristics like the size of the allocated block. Particularly for small allocations, this provides substantial space savings. Allows deterministic behavior on real-time systems avoiding the out of memory errors. Drawbacks

  5. Stack-based memory allocation - Wikipedia

    en.wikipedia.org/wiki/Stack-based_memory_allocation

    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. [4]

  6. Data structure alignment - Wikipedia

    en.wikipedia.org/wiki/Data_structure_alignment

    The compiled size of the structure is now 12 bytes. The last member is padded with the number of bytes required so that the total size of the structure should be a multiple of the largest alignment of any structure member (alignof(int) in this case, which = 4 on linux-32bit/gcc) [citation needed].

  7. Java memory model - Wikipedia

    en.wikipedia.org/wiki/Java_memory_model

    To be able to draw conclusions about a program's behavior, Java's designers decided they had to clearly define possible behaviors of all Java programs. On modern platforms, code is frequently not executed in the order it was written. It is reordered by the compiler, the processor and the memory subsystem to achieve maximum performance.

  8. Manual memory management - Wikipedia

    en.wikipedia.org/wiki/Manual_memory_management

    In computer science, manual memory management refers to the usage of manual instructions by the programmer to identify and deallocate unused objects, or garbage.Up until the mid-1990s, the majority of programming languages used in industry supported manual memory management, though garbage collection has existed since 1959, when it was introduced with Lisp.

  9. Java performance - Wikipedia

    en.wikipedia.org/wiki/Java_performance

    Java memory use is much higher than C++'s memory use because: There is an overhead of 8 bytes for each object and 12 bytes for each array [61] in Java. If the size of an object is not a multiple of 8 bytes, it is rounded up to next multiple of 8. This means an object holding one byte field occupies 16 bytes and needs a 4-byte reference.

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