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                           Parallel STL
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System Requirements
-------------------

Parallel STL is available as a part of Intel(R) Parallel Studio XE 2019
    and Intel(R) System Studio 2019.

    Parallel STL distributions are validated and officially supported
for the hardware, software, operating systems and compilers listed here.

Hardware - Recommended

    Microsoft* Windows* Systems
        Intel(R) Core(TM) processor family
        Intel(R) Xeon(R) processor family
        Intel(R) Xeon Phi(TM) processor family
    Linux* Systems
        Intel(R) Core(TM) processor family
        Intel(R) Xeon(R) processor family
        Intel(R) Xeon Phi(TM) processor family
    macOS* Systems
        Intel(R) Core(TM) processor family
    Android* Systems
        Intel(R) Atom(TM) processor family

Hardware - Supported

    Intel(R) Pentium(R) 4 processor family
    Intel(R) Xeon Phi(TM) coprocessor
    Intel(R) Atom(TM) processor family
    Non Intel(R) processors compatible with the above processors

Software - Minimum Requirements

    Supported operating system (see below)
    Supported compiler (see below)

Software - Recommended

    Intel(R) Parallel Studio XE 2018, 2019
    Intel(R) System Studio 2018, 2019

Software - Supported Operating Systems

    Systems with Microsoft* Windows* operating systems
        Microsoft* Windows* 10
        Microsoft* Windows* 8.1
        Microsoft* Windows* 7 SP1
        Microsoft* Windows* Server 2016
        Microsoft* Windows* Server 2012 R2
    Systems with Linux* operating systems
        CentOS 7.1
        Debian* 8, 9
        Fedora* 27
        Red Hat* Enterprise Linux* 7
        SuSE* Linux* Enterprise Server 12
        Ubuntu* 14.04 LTS, 16.04 LTS, 18.04 LTS
        Yocto 2.3
    Systems with OS X* and macOS* operating systems
        OS X* 10.11
        macOS* 10.12, 10.13
    Systems with Android* operating systems
        Android* 5.x, 6.x, 7.x, 8.x

Software - Supported Compilers

    Intel(R) C++ Compiler 17, 18 and 19 version
        Note: Using Intel C++ Compiler 19.0 might result
        in better performance for many of Parallel STL algorithms,
        comparing to previous compiler versions.
    Microsoft* Visual C++ 14.0 (Microsoft* Visual Studio* 2015,
        Windows* OS only)
    Microsoft* Visual C++ 14.1 (Microsoft* Visual Studio* 2017,
        Windows* OS only)
    Microsoft* Windows* Software Development Kit for Windows* 10
    For each supported Linux* operating system, the standard gcc
        version provided with that operating system is supported
            GNU Compilers (gcc) 4.8 - 7.1
    Clang* 3.3 - 3.8
    Xcode* 7.0 - 9.1
    Android* NDK r13 - r16

Known Issues or limitations

    unseq and par_unseq policies only have effect with compilers that
        support '#pragma omp simd' or '#pragma simd'.
    Parallel and vector execution is only supported for the algorithms
        if random access iterators are provided, while for other iterator
        types the execution will remain serial.
    Semantics of the following algorithms does not allow unsequenced execution:
        includes, inplace_merge, merge, set_difference, set_intersection,
        set_symmetric_difference, set_union, stable_partition, unique.
    The initial value type for exclusive_scan, inclusive_scan,
        transform_exclusive_scan, transform_inclusive_scan shall satisfy
        the DefaultConstructible requirements. A default constructed-instance
        of the initial value type shall be the identity element for binary_op.
    For max_element, min_element, minmax_element, partial_sort,
        partial_sort_copy, sort, stable_sort the dereferenced value type of
        the provided iterators shall be DefaultConstructible.
    For remove, remove_if, unique the dereferenced value type of the provided
        iterators shall be MoveConstructible.
    The following algorithms require additional O(n) memory space for parallel
        execution: copy_if, inplace_merge, partial_sort, partial_sort_copy,
        partition_copy, remove, remove_if, rotate, sort, stable_sort, unique,
        unique_copy.
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