Intel® C++ Composer XE

Intel® C++ Composer XE 2013 for Linux*, Update 2

Intel® C++ Composer XE 2013 includes the latest Intel C/C++ compilers and performance libraries for IA-32, Intel® 64, and Intel® Many Integrated Core (Intel® MIC) architecture systems. This new product release now includes: Intel® C++ Compiler XE Version 13.1, Intel® Debugger Version 13.0 Update 1, Intel® Math Kernel Library (Intel® MKL) Version 11.0 Update 2, Intel® Integrated Performance Primitives (Intel® IPP) Version 7.1 Update 1, Intel® Threading Building Blocks (Intel® TBB) Version 4.1 Update 2

New in this release:

  • Sviluppatori
  • Linux*
  • C/C++
  • Compilatore C++ Intel®
  • Intel® C++ Composer XE
  • Intel® Composer XE
  • Debugger Intel®
  • Intel® Integrated Performance Primitives
  • Intel® Math Kernel Library
  • Intel® Threading Building Blocks

    • OpenMP* 4.0 Features in Intel C++ Composer XE 2013

    The current OpenMP* 4.0 RC1 specification and associated TR1 technical report (both available from http://openmp.org) adds new features for controlling vectorization and execution on coprocessors. Intel® C++ Composer XE 2013 Update 2 (compiler version 13.1) supports two of these new features regarding the simd and target clauses. These are similar to existing Intel-specific compiler directives.

  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8
  • C/C++
  • Intel® C++ Composer XE
  • OpenMP*
  • Strumenti di sviluppo
  • Architettura Intel® Many Integrated Core
  • Elaborazione parallela
  • Threading
  • Vettorizzazione

    • VecAnalysis Python* Script for Annotating Intel C++ & Fortran Compilers Vectorization Reports

     

    This is the Python* script used to annotate Intel® C++ and Fortran compiler 13.1 (Intel® C++/Fortran/Visual Fortran Composer XE 2013 Update 2 and later) vectorization reports produced at -vec-report7.  The attached zip file contains:

    • vecanalysis.py 
    • vecmessages.py
    • README-vecanalysis.txt

    NOTE: You will need Python* version 2.6.5 or higher. For more information, and download instructions please click here.

  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8
  • C/C++
  • Fortran
  • Avanzato
  • Principiante
  • Intermedio
  • Compilatore C++ Intel®
  • Intel® C++ Composer XE
  • Intel® Composer XE
  • Compilatore Fortran Intel®
  • Intel® Fortran Composer XE
  • Intel® Visual Fortran Composer XE
  • Intel® C++ Studio XE
  • Intel® Fortran Studio XE
  • vec-report7 python vecanalysis vecmessages annotation
  • Intel® Advanced Vector Extensions
  • Intel® Streaming SIMD Extensions
  • Ottimizzazione
  • Elaborazione parallela
  • Vettorizzazione

    • Windows* 8: Написание многопоточных приложений для магазина Windows с помощью Intel® Threading Building Blocks

    Как известно, в программном интерфейсе приложений для магазина Windows (Windows Store* apps) отсутствуют многие функции работы с потоками, начиная с CreateThread() и заканчивая работой с TLS ключами. И это отличный повод перейти от параллелизма, основанного на системно-зависимых потоках к параллелизму, основанному на задачах.

    Optimize Financial Applications using Intel® Math Kernel Library

    Intel® Math Kernel Library (Intel® MKL) contains a wealth of highly optimized math functions that are fundamental to a wide variety of Financial Applications. Intel MKL uses Industry Standard interfaces and can be easily integrated into your current application framework. The Webinar provides an overview of Intel MKL to accelerate financial applications. Topics include:

  • Sviluppatori
  • Partner
  • Professori
  • Studenti
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8
  • Apple Mac OS X*
  • C/C++
  • Fortran
  • Principiante
  • Intermedio
  • Compilatore C++ Intel®
  • Intel® C++ Composer XE
  • Compilatore Fortran Intel®
  • Intel® Fortran Composer XE
  • Intel® Math Kernel Library
  • Learning Lab
  • intel mkl
  • Intel Math Kernal Library (Intel MKL)
  • FSI
  • Financial Services
  • Intel MKL Training
  • performance optimization
  • Strumenti di sviluppo
  • Settore dei servizi finanziari
  • Ottimizzazione
  • Elaborazione parallela

    • Improving graphics processing performance using Intel(R) Cilk(TM) Plus

    Author(s): Anoop Madhusoodhanan Prabha, Mark Sabahi

  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8
  • Apple Mac OS X*
  • C/C++
  • Compilatore C++ Intel®
  • Intel® C++ Composer XE
  • Intel® Cilk™ Plus
  • Intel® Composer XE
  • Intel® C++ Studio XE
  • Intel® Parallel Studio
  • Intel® Parallel Studio XE
  • sepia
  • filter
  • CilkPlus
  • Cilk+
  • Cilk
  • array notation
  • cilk_for
  • AOS
  • SOA
  • Vectorization

    • 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.

  • Sviluppatori
  • Partner
  • Professori
  • Studenti
  • Linux*
  • Server
  • C/C++
  • Fortran
  • Principiante
  • Compilatore C++ Intel®
  • Intel® C++ Composer XE
  • Intel® Composer XE
  • Compilatore Fortran Intel®
  • 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
  • Strumenti di sviluppo
  • Architettura Intel® Many Integrated Core
  • Elaborazione parallela
  • Threading
  • Vettorizzazione

    • Pagine

    Iscriversi a Intel® C++ Composer XE