Intel® C and C++ Compilers

Leadership application performance

  • Rich set of components to efficiently implement higher-level, task-based parallelism
  • Future-proof applications to tap multicore and many-core power
  • Compatible with multiple compilers and portable to various operating systems

Performance without compromise

  • Industry leading performance on Intel and compatible processors.
  • Extensive optimizations for the latest Intel processors, including Intel® Xeon Phi™ coprocessor
  • Scale forward with support multi-core, manycore and multiprocessor systems with OpenMP, automatic parallelism, and Intel Xeon Phi coprocessor support
  • Patented automatic CPU dispatch feature gets you code optimized for the current running processor runs code optimized for specified processors identified at application runtime.
  • Intel® Performance Guide provides suggestions for improving performance in your Windows* applications.

Broad support for current and previous C and C++ standards, plus popular extensions

  • Language support with full C++11 and most C99 support. For details on C++11, see
  • Extensive OpenMP 4.0* support

Faster, more scalable applications with advanced parallel models and libraries

Intel provides a variety of scalable, easy to use parallel models. These highly abstracted models and libraries simplify adding both task and vector parallelism. The end result is faster, more scalable applications running on multi-core and manycore architectures.

Intel® Cilk™ Plus (included with Intel C++ compiler)

  • Simplifies adding parallelism for performance with only three keywords
  • Scale for the future with runtime system operates smoothly on systems with hundreds of cores.
  • Vectorized and threaded for highest performance on all Intel and compatible processors
  • Click here for sample code, contributed libraries, open specifications and other information from the Cilk Plus community.
  • Included with Intel C++ compiler and available in GCC 4.9 development branch (with –fcilkplus and the caveat that Cilk_for is not supported yet in a Clang*/LLVM* project at
  • More information

OpenMP 4.0 (included with Intel C++ compiler)

  • Support for most of the new features in the OpenMP* 4.0 API Specification (user-defined reductions not yet supported)
  • Support for C, C++, and Fortran OpenMP programs on Windows*, Linux*, and OS X*
  • Complete support for industry-standard OpenMP pragmas and directives in the OpenMP 3.1 API Specification
  • Intel-specific extensions to optimize performance and verify intended functionality
  • Intel compiler OpenMP libraries are object-level compatible with Microsoft Visual C++* on Windows and GCC on Linux*

Intel® Math Kernel Library

  • Vectorized and threaded for highest performance using de facto standard APIs for simple code integration
  • C, C++ and Fortran compiler-compatible with royalty-free licensing for low cost deployment
  • More information

Intel® Integrated Performance Primitives

  • Performance: Pre-optimized building blocks for compute-intensive tasks
  • A consistent set of APIs that support multiple operating systems and architectures
    • Windows*, Linux*, Android*, and OS X*
    • Intel® Quark™, Intel® Atom™, Intel® Core™, Intel® Xeon®, and Intel® Xeon Phi™ processors
  • More information

Intel® Threading Building Blocks

  • Rich set of components to efficiently implement higher-level, task-based parallelism
  • Compatible with multiple compilers and portable to various operating systems
  • More information

Intel® Media SDK 2014 for Clients

  • A cross-platform API for developing consumer and professional media applications.
  • Intel® Quick Sync Video: Hardware-accelerated video encoding, decoding, and transcoding.
  • Development Efficiency: Code once now and see it work on tomorrow's platforms.
  • More information

A drop-in addition for C and C++ development

  • Windows*
    • Develop, build, debug and run from the familiar Visual Studio IDE
    • Works with Microsoft Visual Studio* 2008, 2010, 2012 and 2013
    • Source and binary compatible with Visual C++*
  • Linux*
    • Develop, build, debug and run using Eclipse* IDE interface or command line
    • Source and binary compatible with GCC
  • OS X*
    • Develop, build, debug and run from the familiar Xcode* IDE
    • Works with Xcode 4.6, 5.0 and 5.1
    • Source and binary compatible with LLVM-GCC and Clang* tool chains
  • 32-bit and 64-bit development included

  1. Project and source in Visual Studio
  2. C/C++ aware text editor
  3. Debug C/C++ code
  4. Call Stack information
  5. Set breakpoints at certain source lines on IDE.

Outstanding support

One year of support included with purchase – gives you access to all product updates and new versions released in the support period plus access to Intel Premier Support. There's a very active user forum for help from experienced users and Intel engineers

  • Videos on Getting Started with Intel® C++ Compiler
  • Vectorization Essentials
  • Performance Essentials with OpenMP 4.0 Vectorization
  • View slides

Register for future Webinars

Previously recorded Webinars:

  • Update Now: What’s New in Intel® Compilers and Libraries
  • Performance essentials using OpenMP* 4.0 vectorization with C/C++
  • Intel® Cilk™ Plus Array Notation - Technology and Case Study Beta
  • OpenMP 4.0 for SIMD and Affinity Features with Intel® Xeon® Processors and Intel® Xeon Phi™ Coprocessor
  • Introduction to Vectorization using Intel® Cilk™ Plus Extensions
  • Optimizing and Compilation for Intel® Xeon Phi™ Coprocessor

More Tech Articles

Game Companies Speed Up Development with Intel® Sample Code
Par John Hartwig (Intel)Publié le 04/27/20150
Whether you are an indie game developer or a seasoned professional, you are likely to find an interesting code sample on Intel Developer Zone's game dev section. Read here to learn how Intel engineers worked with Blizzard and Codemasters to optimze our Adaptive Volumetric Shadow Maps (AVSM), Con...
Intel® Memory Protection Extensions Enabling Guide
Par Sundaram Ramakesavan (Intel)Publié le 04/16/20150
Abstract: This document describes Intel® Memory Protection Extensions (Intel® MPX), its motivation, and programming model. It also describes the enabling requirements and the current status of enabling in the supported OSs: Linux* and Windows* and compilers: Intel® C++ Compiler, GCC, and Visual S...
Intel® Parallel Studio XE 2015 Professional Edition Evaluation on Linux*
Par adminPublié le 04/13/20150
This page steps you through a typical code development methodology. Using samples/videos, it demonstrates how to use the main Intel® Parallel Studio components in each step of the process. You can apply the principles learned to your own application: Identify the performance hotspots in your app...
Intel(R) System Studio Developer Story : How to configure, build and profile the Linux Kernel of Android by using the VTune
Par JONG IL P. (Intel)Publié le 12/23/20140
Intel(R) System Studio Developer Story: How to configure, build, debug and optimize key parts of your mobile software stack for Android* 1. Set-up and configure a development environment. (1) The target HW environment    In this article, a Minnow board MAX is used for a HW platform. The Minnow...
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Supplemental Documentation

Intel® MKL Sparse BLAS Overview
Par Naveen Gv (Intel)Publié le 06/25/20120
Sparse BLAS routines can be useful to implement iterative methods for solving large sparse systems of equations or eigenvalue problems
Intel Guide for Developing Multithreaded Applications
Par adminPublié le 01/16/201224
The Intel® Guide for Developing Multithreaded Applications covers topics ranging from general advice applicable to any multithreading method to usage guidelines for Intel® software products to API-specific issues.
Elemental functions: Writing data parallel code in C/C++ using Intel® Cilk™ Plus
Par Robert Geva (Intel)Publié le 01/24/20116
Intel® Cilk™ Plus provides simple to use language extensions to express data and task-parallelism to the C and C++ language. This article describes one of these programming constructs: “elemental functions”.
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Intel® Parallel Studio XE 2016 Beta program has begun
Par Jennifer J. (Intel)3
Hello everyone, The Intel® Parallel Studio XE 2016 Beta program has just begun. We welcome you to participate. For the new features and improvements, you can find them under "Change History" section in the Intel C++ Compiler Release Notes: Intel C++ Compiler 16.0 beta for Windows: Intel C++ Compiler 16.0 beta for OS X*: Intel C++ Compiler 16.0 beta for Linux*:   For more details and information about this beta program, check out the Intel® Parallel Studio XE 2016 Beta page, which includes additional information in the FAQ and What’s New documents. As a Beta tester, you’ll be expected to provide feedback to our development teams via Beta surveys and submissions at Intel® Premier Support.  
Free webinar April 7 2015 9am PST "Further Vectorization Features of the Intel Compiler"
Par Jennifer J. (Intel)0
There is a free webinar “Further Vectorization Features of the Intel Compiler” coming next Tuesday talking specifically about getting more vectorizations from Intel Compilers. But you would benefit it more if you've watched/listened to the previous webinar Performance essentials using OpenMP* 4.0 vectorization with C/C++. Please register at Intel® Software Tools Technical Webinar Series  Detail info on the webinar: Further Vectorization Features of the Intel Compiler The vectorization features of the Intel compiler continue to get more powerful with each succeeding version. In this webinar, we will look beyond the vectorization of simple loops over intrinsic data types, to examples involving STL (Standard Template Library) vectors; multi-dimensional arrays, including data alignment; explicit outer loop vectorization, using the SIMD feature of OpenMP 4.0; and, if time permits, indirect addressing. Code samples will include C, C++ and Fortran and will be available for subsequent dow...
OS X 10.9 Xcode 5 error can't open "stdlib.h" OR ld: library not found for -lcrt1.10.6.o
Par Ronald W Green (Intel)0
Environment:  OS X 10.9 (Mavericks) and Xcode 5.0 Command line compilations/links fail with either: "catastrophic error: cannot open source file "stdlib.h" OR with "ld: library not found for -lcrt1.10.6.o" Affected compiler:  Intel Composer XE 2013 Update 1 Root cause:  Xcode 5.0 installation does not install all command line tools (include files, libraries, SDKs) need for the compiler to link user applications.  FIX: Install the Xcode 5.0 "Command Line Tools".  Follow this Knowledge Base article for installation of this package:
ld: cannot find -lm when building with -static or -fast
Par Ronald W Green (Intel)0
RHEL 6.x, FC14, FC13, FC12, SL6.x, CentOS 6, etc. and possibly other recent distributions: error when using -static or -fast: ld: cannot find -lm See this article:
IDB use under Mac OS* X 10.7 Lion
Par Ronald W Green (Intel)0
In order to debug applications built by the Intel Composer XE 2011 ( Updates 6, 7, 8, and possible future updates ) under Mac OS* X 10.7 Lion, the following options are required: -g -save-temps -fpic -Wl,-no_pie Further information can be found here: does not affect users running Mac OS* X 10.6 Snow Leopard or Mac OS* X 10.5 Leopard.
compiler option O0 and O2 generate different results
Par Robin2
Hi all, I am optimizing my code. When I use O2 compiler option, the code runs repeatedly two times, the results are different in each repeat. But when I change to O0 compiler option, the results are the same. What might be the reason? BTW, I am using CentOS 6.5 and the command line is as follows: icpc -O2 -DALIGN_OPT=16 -DSSE -ipo main_turbo_decoding_cfunc.cpp turbo_decoding_cfunc.cpp -o turbo_decoding -lrt Thank you!
Incomplete C++11 "alignas" implementation
Par Simon H.2
Hi, icc 15.0 gives me a warning when compiling the following code: template using type alignas(64) = T; warning #3463: alignas does not apply here using type alignas(64) = T; If I understand correctly my code is correct, and indeed GCC and Clang compile it properly without warnings. Is this a known issue with icc? Can I expect a fix in future versions? Thanks, Simon
Memory allocation optimised away
Par velvia1
Hi, I am working on the design of my own numerical library (with il::Vector, il::StaticVector, il::Matrix, il::StaticMatrix) with some improvements over the STL (indices are signed, il::Vector<double> are initialised to NaN in debug mode, etc). I've been thinking over a long time on a good design for custom allocators but I can't make out my mind. The STL way of doing it invades the type system and makes it a pain to use. The Bloomberg way of doing it, uses dynamic dispatch for memory allocation and does not invade the type system. It looked like the right solution to me before I saw Chandler Carruth from Google saying that compilers can optimise away memory allocation if they can see it. This kind of optimisations are obviously lost in the Bloomberg model. It took me a while to find an example where memory allocation are optimised away, but the following code #include <iostream> #include <vector> std::vector<double> f_val(std::size_t i, std::size_t n) { ...
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A new version of CilkPlus/LLVM compiler is available!
Par Andrew Tischenko (Intel)0
Hi All! We’re glad to inform you that a new version of CilkPlus LLVM-based compiler available now on Cilk Plus/LLVM. This version fully supports Intel® Cilk™ Plus Language Extension Specification Version 1.2, including C-Extended Array Notation missed in the previous version of the compiler. In addition, a lot of bugs were fixed, including variable length arrays support in _Cilk_spawn calls. We’re encouraging you to download the new compiler and to play with it. All your comments are welcome! Andrew V. Tischenko ================= Software Engineer Intel Compiler Team  
Cilk Plus for GCC 4.8
Par Barry Tannenbaum (Intel)0
Binary versions of the GNU Compiler Collection (GCC) C and C++ 4.8 compilers with the cilkplus extension are now available from . The binaries support the x86-32 and x86-64 architectures on Ubuntu* Linux*. The source for these compilers is available at  . These compilers are provided as a convenience. This branch is under active development and should not be used for production code. The compilers are not guaranteed to be up-to-date or error-free. Questions, bug reports, or issues should be posted in this forum. Cilk Plus is also being integrated into the next version of the GCC C and C++ compilers.  Sources for that version are available at .
Announcement: Version 1.2 of the Cilk Plus Language Specification released
Par Pablo Halpern (Intel)0
We are pleased to announce an update to the Intel® Cilk™ Plus Language Specification.  This document describes the syntax and semantics of the Cilk™ Plus language constructs that were added to the C and C++ programming languages.  This version of the specification was relseased in September, 2013 and supersedes the 1.1 version of the same specification released in July, 2011.  This version adds no new features to the language extensions described in the V1.1 specification, but contains numerous corrections and clarifications.  A few obsolete constructs were removed.  It is recommended that implementors adding Cilk Plus extensions to their compilers base their changes on this document instead of the V1.1 document. The new spec is available on the Open Specifications download page on
Cilkpub: a library of community-contributed Cilk Plus code
Par Jim Sukha (Intel)3
We are pleased to announce that Cilkpub, a library of community-contributed Cilk Plus code, is now available for download. Cilkpub is intended to be a public library of code contributed and maintained by the members of the Cilk Plus community. Version 1.02 has been posted to the community website and contains the following modules: DotMix DPRNG: a deterministic parallel random number generator for Cilk Plus, contributed by Tao B. Schardl and myself. Sort: a module containing parallel implementations of quicksort and sample sort, contributed by Arch Robison.   This code is derived from the sorts described in Structured Paralllel Programming. Cilkpub is distributed as a source code.  The DotMix and Sort modules are implemented using C++ templates, and consist of only header files. If you have your own Cilk Plus code that you would like to share with the world, please consider contributing your code!   The Cilkpub project is still in its early stages, and we hope to expand the librar...
Cilk Plus/LLVM available on Github
Par Ben Langmuir (Intel)3
Hi all, I am pleased to announce that the source code for our in-progress implementation of the Intel Cilk Plus extensions in Clang/LLVM is now available on Github: This is an early release, and is not yet feature-complete. Right now, only spawn and sync are supported, as well as anything that only requires the runtime library, such as hyperobjects. We will of course be adding the rest of the Intel Cilk Plus extensions over time, including cilk_for and the vectorization features. More information about the current status, including supported platforms and known issues is available at We would love to hear your feedback (and bug reports!) – either on this forum, or via the github issue tracker  Ben
New Cilk Plus website -
Par Bethany Dalby (Intel)1
Check out the new Intel® Cilk Plus™ website  Learn about the latest product information, download tools and samples, submit contributions, and much more! If you have any comments or suggestions, we would love to hear them.
Intel Cilk Plus SDK - Cilkscreen and Cilkview for Intel Cilk Plus
Par Barry Tannenbaum (Intel)6
The Intel Cilk Plus SDK (Software Development Kit) is now available as a WhatIf kit. It supplies the Cilkscreen race detection and Cilkview scalability tools for Intel Cilk Plus developers working on the Microsoft Windows* and Linux* operating systems. More information can be found at the Intel Cilk Plus Download page. Support for the Intel Cilk Plus SDK will be provided through the Intel Cilk Plus forum. Note: You must have SP1 or later of the Intel Parallel Composer 2011 or Intel C++ Composer XE 2011 products. - Barry
Cilkplus port to Raspberry Pi 2B
Par Eric O.6
I compiled the new release of gcc-5.1 with the Cilkplus parallel processing extensions and runtime library for ARMv7 architecture on the Raspberry Pi 2B single board computer.  Two changes were needed. The first change corrects a typo in generic/cilk-abi-vla.c by changing the second to the last line of the file from vla_internal_heap_free(t, full_size); to vla_internal_heap_free(p, full_size); the second change was to generic/os-fence.c and ARM specific. Comment out the line COMMON_SYSDEP void __cilkrts_fence(void); ///< MFENCE instruction as // COMMON_SYSDEP void __cilkrts_fence(void); ///< MFENCE instruction and then add the define #define __cilkrts_fence() __asm__ volatile ("DSB") right above it.  I've been testing the results and getting reasonable parallel speedup using 4-cores on a number of algorithms.  My results are posted on the Raspberry Pi forum under the topic "Programming C/C++" in the thread "Cilkplus on RPi2B." It appears that cilk_spawn, cilk_sync and cilk_for...
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