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Open Source Downloads

This article makes available third-party libraries, executables and sources that were used in the creation of Intel® Software Development Products or are required for operation of those. Intel provides this software pursuant to their applicable licenses. [Intel® Graphics Technology, Intel® Composer XE, Intel® C++ Composer XE, Intel® Application Debugger, Intel® Many Integrated Core Architecture Debugger & Intel® JTAG Debugger]
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • C/C++
  • Fortran
  • Intel® Parallel Studio XE Composer Edition
  • Compilador C++ Intel®
  • Compilador Fortran Intel®+
  • Depurador Intel®
  • Depurador JTAG Intel®
  • Depurador de aplicativos
  • EPL
  • third-party
  • Depuração
  • Ferramentas de desenvolvimento
  • Gráficos
  • Arquitetura Intel® Many Integrated Core
  • Código aberto
  • Intel® Distribution for Python 2017 Update 1 Readme

    Intel® Distribution for Python powered by Anaconda gives you ready access to tools and techniques for high performance to supercharge all your Python applications on modern Intel platforms. Whether you are a seasoned high-performance developer or a data scientist looking to speed up your workflows, the Intel Distribution for Python powered by Anaconda delivers an easy-to-install, performance-optimized Python experience to meet even your most demanding requirements.

  • Apple macOS*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • Python*
  • Intel® Parallel Studio XE
  • Intel® Parallel Studio XE Composer Edition
  • Intel® Parallel Studio XE Professional Edition
  • Intel® Parallel Studio XE Cluster Edition
  • Intel® MPI Library 2017 Update 1 Readme

    The Intel® MPI Library is a high-performance interconnect-independent multi-fabric library implementation of the industry-standard Message Passing Interface, v3.1 (MPI-3.1) specification.  This package is for MPI users who develop on and build for Intel® 64 architectures on Linux* and Windows*, as well as customers running on the Intel® Xeon Phi™ product family.  You must have a valid license to download, install, and use this product.

  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • C/C++
  • Fortran
  • Biblioteca MPI Intel®
  • MPI (Message Passing Interface - Interface de transferência de mensagens)
  • Computação de cluster
  • Intel® Trace Analyzer and Collector 2017 Update 1 Readme

    The Intel® Trace Analyzer and Collector for Linux* and Windows* is a low-overhead scalable event-tracing library with graphical analysis that reduces the time it takes an application developer to enable maximum performance of cluster applications.  This package is for users who developer on and build for Intel® 64 architectures on Linux* and Windows*, as well as customers running on Intel® Xeon Phi™.  The package also includes an option download on OS X* for analysis only.  You must have a valid license to download, install, and use this product.

  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • C/C++
  • Fortran
  • Intel® Trace Analyzer and Collector
  • MPI (Message Passing Interface - Interface de transferência de mensagens)
  • Computação de cluster
  • Computação paralela
  • Manufacturing Process Example

    The Intel® Curie™ module manufacturing process example describes the main steps of the manufacturing flow used for the Arduino 101* (branded Genuino 101* in some countries) board. It is provided as an example for makers of printed circuit boards that include an Intel® Curie™ module.

    Files

    Select the Download button below to download the document. The document refers to some files that can be downloaded as a zip file:

    Intel® Parallel Studio XE 2017 Update 1 Readme

    Deliver top application performance and reliability with Intel® Parallel Studio XE 2017. This C++ and Fortran software development suite simplifies the design, build, debug, and tune of applications that take advantage of scalable MPI, thread and vector parallel processing to boost application performance.
  • Apple macOS*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • C/C++
  • Fortran
  • Python*
  • Intel® Parallel Studio XE
  • Intel® Parallel Studio XE Composer Edition
  • Intel® Parallel Studio XE Professional Edition
  • Intel® Parallel Studio XE Cluster Edition
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