Showing 8 open source projects for "shared memory allocator"

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  • 1

    ccgsl

    Use Gnu Scientific Library as if it were writtem in C++.

    The ccgsl provides simple C++ wrappers for the GNU Scientific Library. It uses Java-like shared-pointer classes in place of structs to avoid direct memory allocation/freeing and to work better with the STL. It lets you construct functions for optimisation, root-finding and the like from C++ member functions, making it easier to integrate with existing C++ code. It also provides C++ exceptions.
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  • 2
    The Safe C Library provides bound checking memory and string functions per ISO/IEC TR24731. These functions are alternative functions to the existing standard C library that promote safer, more secure programming. The ISO/IEC Programming languages — C spec, C11, now includes the bounded APIs in Appendix K, "Bounds-checking interfaces". This latest upload supports building static library, a shared library and a linux kernel module.
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  • 3

    The SNOMP Library

    SNOMP (SNOMP is Not OpenMP) is a library for semi-shared memory parall

    SNOMP (SNOMP is Not OpenMP) is a library for semi-shared memory parallelization.
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  • 4
    An O(1) memory allocator, which may be used to replace malloc. It's very small and very fast.
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  • 5
    Application level crossed-platform slab allocator implementation: fixed-allocating-time, automanual give memory back to os, address coloring to reduce bus-unbalance.
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  • 6
    One approach to constructing fast queues is to construct a mechanism for using shared memory appropriate containers in C++ as templates. There are three main components: the shared segment of memory, an allocator of memory chunks and the queue itself.
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  • 7
    STLshm provides an C++ STL Allocator implementation for creating and using STL containers (and any other allocator aware types) in shared memory regions. It supports multiple shared region implementations.
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  • 8
    QuickMP (Quick Multi-Processing) is a simple cross-platform C++ API for generating parallel for loops in shared-memory programs, similar to OpenMP. It provides automatic scalable performance based on the number of available processors.
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