OpenMP*

Intel C++ Compiler - ANSI C/C++ and OpenMP* compliance

C Standard Conformance
The Intel(R) C++ Compiler for Linux* or OS X* version 10.x, 11.x, 12.x, 13.x, 14.0 & 15.0 or Intel Parallel Composer 2011 conforms to the ANSI/ISO standard ISO/IEC 9899:1999 for C language.

The Intel(R) C++ Compiler for Windows version 10.x, 11.x, 12.x, 13.x, 14.0 & 15.0 or Intel Parallel Composer 2011 conforms to the ANSI/ISO standard ISO/IEC 9899:1990 for C language by default, but comforms to ANSI/ISO standard ISO/IEC 9899:1999 under /Qstd=c99 switch.

  • Developers
  • Apple OS X*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • C/C++
  • Beginner
  • Intel® C++ Compiler
  • Intel® C++ Composer XE
  • Intel® Parallel Composer
  • OpenMP*
  • ANSI
  • ISO
  • VersionSpecific
  • What’s New in the Intel Compiler

    The list below summarizes new features in the Intel® C++ Compiler 15.0 and the Intel® Fortran Compiler 15.0. For more details about changes in the Intel compilers since the previous release, including a list of new options, please refer to the ‘What’s New’ section in the release notes (C++, Fortran).

  • Developers
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8
  • C/C++
  • Fortran
  • Advanced
  • Beginner
  • Intermediate
  • Intel® C++ Compiler
  • Intel® Fortran Compiler
  • OpenMP*
  • Development Tools
  • Intel® Core™ Processors
  • Intel® Many Integrated Core Architecture
  • Optimization
  • Parallel Computing
  • Threading
  • Vectorization
  • OpenMP* 4.0 combined offload constructs support for the Intel® Xeon Phi™ coprocessor

    The Intel® Parallel Studio XE 2015 Composer Editions for Windows* and Linux* have feature enhancements that provide near full support of the OpenMP* 4.0 API (July 2013) specification. Extensions to the reduction clause and the new declare reduction construct added to support user defined reductions are not currently supported.

  • Developers
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8
  • C/C++
  • Fortran
  • Intel® C++ Compiler
  • Intel® C++ Composer XE
  • Intel® Composer XE
  • Intel® Fortran Compiler
  • Intel® Fortran Composer XE
  • Intel® Parallel Composer
  • Intel® Visual Fortran Composer XE
  • OpenMP*
  • Intel® Many Integrated Core Architecture
  • Parallel Computing
  • Threading
  • Mac OS 10.9 - clang: error: unknown argument: '-no-intel-extensions'

    I executed the following commands:

    INTEL_OPENMP_LATEST_BUILD_LINK=https://www.openmprtl.org/sites/default/files/libomp_20131209_oss.tgz

    curl ${INTEL_OPENMP_LATEST_BUILD_LINK} -o libomp_oss_temp.tgz
    gunzip -c libomp_oss_temp.tgz | tar xopf -
    rm -rf libomp_oss_temp.tgz
    cd libomp_oss

     

    OpenMP* 4.0 Features in Intel Compiler 15.0

    Intel® C++ Compiler 15.0 and Intel® Fortran Compiler 15.0 support the OpenMP* 4.0 standard, with the exception of user-defined reductions. Refer to the compiler documentation (C++ | Fortran) for more information.

    Intel C++ Compiler 15.0 and Intel Fortran Compiler 15.0 adds support for several OpenMP* 4.0 features and directives as defined by the OpenMP* 4.0 specification:

  • Developers
  • C/C++
  • Fortran
  • Intermediate
  • Intel® C++ Compiler
  • Intel® Fortran Compiler
  • OpenMP*
  • Intel® Many Integrated Core Architecture
  • Optimization
  • Vectorization
  • OpenMP* WORKSHARE constructs now parallelize with Intel® Fortran Compiler 15.0

    The Intel® Fortran Compiler 15.0 now generates multi-threaded code for select instances of the OpenMP WORKSHARE and PARALLEL WORKSHARE constructs involving array assignments.  Previously, these were implemented with the OpenMP SINGLE construct, meaning that only single-threaded code was generated.

     

    Multithreaded code is not always generated for the statements inside the block of an OMP WORKSHARE construct. Some statements parallelize; others do not parallelize and instead execute sequentially inside an OMP SINGLE construct to preserve the correct semantics of WORKSHARE.

  • Developers
  • Professors
  • Apple OS X*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8
  • Server
  • Fortran
  • Advanced
  • OpenMP*
  • MPI与OpenMP*的混合编程模型介绍

            1.  HPC领域中并行编程模型介绍

      在高性能计算HPC领域,MPI、OpenMP*、单边通信、shmem共享内存等并行编程模型正被广泛运用于应用中。本文将主要围绕MPI及OpenMP*来进行介绍,以及二者在Intel® Xeon Phi™协处理器上的应用。

      MPI(Message Passing Interface)是常用于在高性能计算中的分布式内存系统中常用的消息传递规范。在MPI模型中,数据在进程(或MPI rank)之间以协作的方式移动,每一个MPI rank拥有一个独立的地址空间。MPI规范包括通信及同步机制,它已成为分布式系统上进程间通信的默认标准。

      OpenMP(Open Multi-Processing)也是一种HPC领域中常用的编程规范,它对可使用的各种pragma、运行时库及环境变量都有标准的定义。共享的内存可以被所有OpenMP线程访问,这种编程方式主要用于多核共享内存的场景。

            2.  MPI/OpenMP混合编程的优势

  • Developers
  • Server
  • Compilers
  • OpenMP*
  • Intel® Many Integrated Core Architecture
  • Subscribe to OpenMP*