Multithread-Entwicklung

Webinar: Get Ready for Intel® Math Kernel Library on Intel® Xeon Phi™ Coprocessors

Intel recently unveiled the new Intel® Xeon Phi™ product – a coprocessor based on the Intel® Many Integrated Core architecture. Intel® Math Kernel Library (Intel® MKL) 11.0 introduces high-performance and comprehensive math functionality support for the Intel® Xeon Phi™ coprocessor. You can download the audio recording of the webinar and the presentation slides from the links below.

  • Entwickler
  • Partner
  • Professoren
  • Studenten
  • Linux*
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  • C/C++
  • Fortran
  • Anfänger
  • Intel® C++-Compiler
  • Intel® C++ Composer XE
  • Intel® Composer XE
  • Intel® Fortran Compiler
  • Intel® Fortran Composer XE
  • Intel® Parallel Composer
  • Intel® Math Kernel Library
  • Intel® C++ Studio XE
  • Intel® Cluster Studio
  • Intel® Cluster Studio XE
  • Intel® Parallel Studio
  • Intel® Parallel Studio XE
  • Learning Lab
  • Intel Math Kernal Library (Intel MKL)
  • intel mkl
  • mkl 11.0
  • Intel Many Integrated Cores
  • Native and Offload Programming Models for Intel(R) MIC
  • Intel® Advanced Vector Extensions
  • Intel® Cluster Ready
  • Intel® Streaming SIMD Extensions
  • Entwicklungstools
  • Intel® Many Integrated Core Architektur
  • Parallel Computing
  • Threading
  • Vektorisierung

    • Использование рабочих веб-процессов для повышения производительности приложений HTML5-JavaScript* стиля Metro

    В этой статье описывается метод использование рабочих веб-процессов в приложениях HTML5 b JavaScript* стиля Metro. Мы рассказываем, что такое рабочие веб-процессы, каковы их преимущества и способы использования.
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  • Intel AppUp® Developer
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  • Microsoft Windows* 8
  • Windows*
  • HTML5
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  • Experten
  • Anfänger
  • Fortgeschrittene
  • Metro
  • web workers
  • Microsoft Windows* 8 Style UI

    • OMP_PROC_BIND is now supported on compatible non-Intel processors

    The newest versions of the Intel® C++ and Fortran compilers now support OpenMP* environment variable OMP_PROC_BIND on compatible non-Intel processors for Linux* and Windows* platforms.  The compilers containing the fixes are Intel® Composer XE 2011 Update 13 and Intel® Composer XE 2013 Update 1.  Previous versions of these compilers do not support OMP_PROC_BIND, as defined by the OpenMP* Version 3.1 API specification, on non-Intel processors.  Setting OMP_PROC_BIND={true, false} on a non-Intel processor and running a program linked against the Intel® OpenMP* runtim

  • Entwickler
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  • Studenten
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Business Client
  • Server
  • C/C++
  • Fortran
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  • Intel® C++ Composer XE
  • Intel® Fortran Composer XE
  • Intel® Visual Fortran Composer XE
  • OMP_PROC_BIND
  • GOMP_CPU_AFFINITY
  • OpenMP*
  • Parallel Computing

    • Intel® Math Kernel Library on the Intel® Xeon Phi™ Coprocessor

    Starting with Intel® MKL 11.0, support for the Intel® Xeon Phi™ coprocessor has been available. Intel® MKL provides specifically optimized functions for users to take advantages of this new architecture. This page is a collection of online resources on using Intel® MKL on the Intel® Xeon Phi™ coprocessors.

  • Entwickler
  • Professoren
  • Studenten
  • Linux*
  • Server
  • C/C++
  • Fortran
  • Experten
  • Anfänger
  • Fortgeschrittene
  • Intel® Math Kernel Library
  • MKL
  • Intel® Xeon Phi
  • MIC
  • MKL support for Xeon Phi
  • MKL on MIC
  • MKL and Xeon Phi
  • Learning Lab
  • Intel MKL Training
  • mkl 11.0
  • MIC architecture
  • Native and Offload Programming Models for Intel(R) MIC
  • Entwicklungstools
  • Konzern
  • Finanzdienstleistungsbranche
  • Intel® Many Integrated Core Architektur
  • Optimierung
  • Parallel Computing

    • Getting Started Tutorial: Identifying Hardware Issues with Intel® VTune™ Amplifier XE 2011 on Linux

    Identify the hardware-related issues in your Linux application with Intel® VTune™ Amplifier XE 2011, C++ code sample

    http://software.intel.com/sites/products/documentation/hpc/amplifierxe/en-us/2011Update/lin/start/identify_hw_issues/cpp/index.htm
  • Learning Lab
  • Linux*
  • Intel® VTune™ Amplifier XE
  • Intel® Parallel Studio XE
  • Leistungsverbesserung
  • Multithread-Entwicklung
  • Anfänger

    • Getting Started Tutorial: Identifying Hardware Issues with Intel® VTune™ Amplifier XE 2011 on Windows

    Identify the hardware-related issues in your Windows application with Intel® VTune™ Amplifier XE 2011, C++ code sample

    http://software.intel.com/sites/products/documentation/hpc/amplifierxe/en-us/2011Update/win/start/identify_hw_issues/cpp/index.htm
  • Learning Lab
  • Microsoft Windows* (XP, Vista, 7)
  • Intel® VTune™ Amplifier XE
  • Intel® Parallel Studio XE
  • Leistungsverbesserung
  • Multithread-Entwicklung
  • Anfänger

    • Getting Started Tutorial: Finding Hotspots with Intel® VTune™ Amplifier XE 2011 on Linux

    Understand where your Linux application is spending time with Intel® VTune™ Amplifier XE 2011, C++ code sample

    http://software.intel.com/sites/products/documentation/hpc/amplifierxe/en-us/2011Update/lin/start/find_hotspots/cpp/index.htm
  • Learning Lab
  • Linux*
  • Intel® VTune™ Amplifier XE
  • Intel® Parallel Studio XE
  • Leistungsverbesserung
  • Multithread-Entwicklung
  • Anfänger

    • Getting Started Tutorial: Finding Hotspots with Intel® VTune™ Amplifier XE 2011 on Windows

    Understand where your Windows application is spending time with Intel® VTune™ Amplifier XE 2011, C++ code sample

    http://software.intel.com/sites/products/documentation/hpc/amplifierxe/en-us/2011Update/win/start/find_hotspots/cpp/index.htm
  • Learning Lab
  • Microsoft Windows* (XP, Vista, 7)
  • Intel® VTune™ Amplifier XE
  • Intel® Parallel Studio XE
  • Leistungsverbesserung
  • Multithread-Entwicklung
  • Anfänger

    • Seiten

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