Compilador C++ Intel®

Announcing new product: Intel® Data Analytics Acceleration Library 2016 Beta

We are pleased to announce the release of Intel® Data Analytics Acceleration Library 2016 Beta! Intel® Data Analytics Acceleration Library is a C++ and Java API library of optimized analytics building blocks for all data analysis stages, from data acquisition to data mining and machine learning. It is a library essential for engineering high performance data application solutions. Click here to see more.

Intel® Xeon Phi™ Coprocessor code named “Knights Landing” - Application Readiness

As part of the application readiness efforts for future Intel® Xeon® processors and Intel® Xeon Phi™ coprocessors (code named Knights Landing), developers are interested in improving two key aspects of their workloads:

  1. Vectorization/code generation
  2. Thread parallelism

This article mainly talks about vectorization/code generation and lists some helpful tools and resources for thread parallelism.

  • Desenvolvedores
  • Servidor
  • Intermediário
  • Compilador C++ Intel®
  • Intel® AVX-512
  • Knights Landing
  • Intel SDE
  • Intel® IMCI
  • Arquitetura Intel® Many Integrated Core
  • Computação paralela
  • Vetorização
  • Оптимизировали, оптимизировали, да не выоптимизировали!

    Оптимизация? Конечно, каждый сталкивался с данной задачей при разработке своих, сколь-нибудь значительных, требующих определённых вычислений, приложений. При этом способов оптимизировать код существует огромное множество, и, как следствие, различных путей сделать это в автоматическом режиме с помощью опций компилятора. Вот здесь и возникает проблема – как выбрать то, что нужно нам и не запутаться?

    Optimization problems with std::array maybe due to RVO


    I discovered a source of slowdown in my program, due to the usage of std::array. To gain a better understanding of what was going on, I have used my own implementation of std::array, and the slowdown disappeared. Unfortunately, I can't show you the program I am working on due to some non disclosure agreement. But I've managed to track down the problem and put it in a simple file.

    When you compile the file shown below with

    Right Intel C++ compiler for 64-bit machine


    I just installed the Intel® Parallel Studio XE Professional Edition for C++ Linux* (evaluation version) for my Ubuntu 14.04.2 machine running on a "Intel Corporation Xeon E3-1200 Processor Family" processor.

    I don't understand if this is a 32-bit compiler or not. I'm worried about this since during the installation a message reporting the absence of some 32-bit libraries appears on the console. 

    Since I'm interested to have the best performances (running time) of my code, does a 64-bit specific version exist for my machine?

    Thank you

    error: class "__m128" has no suitable assignment operator

    This code 

    #include <xmmintrin.h>


    volatile __m128 a, b;


    void test(void)


         a = b;



    produces this error

    $ /opt/intel/composerxe/bin/icpc -c error: class "__m128" has no suitable assignment operator

           a = b;



    compilation aborted for (code 2)


    when compiled with icpc.  There is no error if the variables are not volatile.  There is no error with icc or gcc or g++.

    'Segmentation violation signal raised' when xiar runs

    I am trying to compile chromium 41.0.2272.64 (64 bit) using icc on Linux. icpc --version shows

    icpc (ICC) 15.0.2 20150121
    Copyright (C) 1985-2015 Intel Corporation.  All rights reserved.

    I compile the whole thing with -ipo option on. It compiles obj/content/browser/gpu/content_browser.gpu_process_host.o as usual with the following command (some unrelated stuff is skipped, and I know that some options shown below are not supported by icc or duplicated):

    Problem compiling with armadillo

    Hello all,

    I'm using aramadillo ( to elegantly manipulate arrays. All was working well till the last version (4.650.2).
    Now it fails compiling with icpc (15.0.1, Linux) pretending there is a resolution problem.  The snippet code still compile fine with g++(4.9.2) and also clang (3.5) showing no error or warning.
    I've filed a bug to armadillo team, but they told me it is an Intel issue.

    Assine o Compilador C++ Intel®