OpenMP*

OpenMP* Thread Affinity Control

Intel® Composer XE for MIC Compi Document

Compiler Methodology for Intel® MIC Architecture

Compiler Methodology for Intel® MIC Architecture
Efficient Parallelization, OpenMP Thread Affinity Control

  • Entwickler
  • Linux*
  • C/C++
  • Fortran
  • Experten
  • Intel® C++-Compiler
  • Intel® Fortran Compiler
  • OpenMP*
  • Intel® Many Integrated Core Architektur
  • Optimierung
  • Vektorisierung
  • Parallelization Using OpenMP*

    Application Analysis for Intel® MIC Architecture Suitability

    Document

    Compiler Methodology for Intel® MIC Architecture

    Parallelization Using OpenMP*

    This chapter covers the Intel® Composer XE for Linux suite support of OpenMP* 3.1.

  • Entwickler
  • Linux*
  • C/C++
  • Fortran
  • Experten
  • Compiler
  • Intel® C++-Compiler
  • Intel® C++ Composer XE
  • Intel® Composer XE
  • Intel® Fortran Compiler
  • Intel® Fortran Composer XE
  • OpenMP*
  • Intel® Many Integrated Core Architektur
  • Optimierung
  • Vektorisierung
  • Efficient Parallelization

    Efficient Parallelization Document

    Compiler Methodology for Intel® MIC Architecture

    Efficient Parallelization

    Overview

    This chapter covers topics in parallelization. There are links to various parallelization methods and resources along with tips and techniques for getting optimal parallel performance.

    Goals

  • Entwickler
  • Linux*
  • C/C++
  • Fortran
  • Experten
  • Intel® C++-Compiler
  • Intel® C++ Composer XE
  • Intel® Composer XE
  • Intel® Fortran Compiler
  • Intel® Fortran Composer XE
  • Intel® Threading Building Blocks
  • Intel® Cilk Plus Software Development Kit
  • OpenMP*
  • Intel® Many Integrated Core Architektur
  • Optimierung
  • Parallel Computing
  • Using Tasking in OpenMP* 3.0 with the Intel® Fortran Compiler

    The multi-core performance of a legacy Fortran benchmark unsuited to data parallelism is enhanced by threading using the TASK construct of OpenMP 3.0 and the Intel Fortran Compiler. The necessary source code changes are explained in detail.
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Apple Mac OS X*
  • Fortran
  • Intel® Fortran Compiler
  • tasking
  • OpenMP*
  • Optimierung
  • IPP Crypto Sample Performance for OpenSSL too Slow on Hyper-Threading Systems

    When running Intel IPP crypto sample for OpenSSL on Hyper-Threading systems, the AES benchmark application reports slow performance. Users need to use correct threading setting to avoid the problem.
  • Apple Mac OS X*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • C/C++
  • Intel® Composer XE
  • Intel® Parallel Composer
  • Intel® Integrated-Performance-Primitives
  • AES
  • OpenSSL
  • openssl-ipp
  • OpenMP*
  • Optimierung
  • Threading
  • Seiten

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