Getting Started with the Intel® C++ Composer XE 2013 for Linux* OS

The Intel® C++ Composer XE 2013 for Linux* OS compiles C and C++ source files on Linux* operating systems. The compiler and debugger are supported on IA-32 and Intel® 64 architectures.

The Intel® C++ Composer XE 2013 for Linux* OS has tutorials with step by step instructions with sample code that you can compile into an application using the Intel compiler. Try out the compiler by using the source code from a tutorial.

If you need help getting started with this product, go to the Software Developer Support site where you can browse the knowledge base, ask user community experts and get additional help from Intel.

Set the Environment Variables

Before you can use the compiler, you must first set the environment variables by running the compiler environment script compilervars.sh or compilervars.csh with an argument that specifies the target architecture.

Start the Compiler from the Eclipse* CDT

Intel® C++ Compiler 13.1 for Linux* OS provides an integration, also known as an extension, to Eclipse* and C/C++ Development Toolkit (CDT) that lets you develop, build, and run your Intel C/C++ projects in a visual, interactive environment. CDT is layered on Eclipse* and provides a C/C++ development environment perspective.

Note
Eclipse* and CDT are not bundled with the Intel® C++ Compiler 13.1. You must obtain them separately.

You must first install and configure Eclipse* on your system and then configure Eclipse* to use the Intel® C++ Compiler 13.1. To install Eclipse*, refer to the Eclipse* documentation.

When Eclipse* restarts, you can create and work with CDT* projects that use the Intel® C++ compiler.

Start the Compiler from the Command Line

Before you can use the compiler, you must first set the environment variables as described above in Set the Environment Variables.

Following successful compilation, the compiler creates an executable file in the current directory.

Start the Intel® Debugger

The Intel® Debugger is available in a graphical environment and as a command line tool. The graphical environment is a Java* application and requires the Java Runtime Environment (JRE).

Before you can use the graphical environment or command line debugger, you must first set the environment variables and then start the debugger.

Use the Tutorials

The following tutorials include sample code that demonstrates the features of the compiler.

Using the Intel® MIC Architecture	A system with the Intel® Many Integrated Core Architecture (Intel® MIC Architecture) can run your application on both the CPU and the coprocessor. The application starts at the CPU with user-defined sections of the source code offloaded to the coprocessor. In this tutorial, you will compile the sample source code into an application that runs on both the CPU and the coprocessor. You will then examine the source code to see how you can define sections to run on both the host CPU and the coprocessor. Note You will need a system with the Intel® MIC Architecture to complete this tutorial.
Using Auto Vectorization	The auto-vectorizer detects operations in the application that can be done in parallel and converts sequential operations to parallel operations by using the Single Instruction Multiple Data (SIMD) instruction set. In this tutorial, you will be introduced to adding parallelism to your serial application by using the auto-vectorizer to improve the performance of the sample code. You will then compare the performance of the serial version and the version that was compiled with the auto-vectorizer.
Using Guided Auto Parallelism	Guided auto parallelism offers selective advice that you can implement on your application. In this tutorial, you will be introduced to using guided auto parallelism by invoking the advice specified in the guided auto parallelism report. You will then see the performance difference between the serial version and the version that uses the advice provided by the guided auto parallelism feature.
Threading Your Applications	Intel® C++ Composer XE 2013 has several software features that can improve the performance of your serial applications by using parallel processing. Open Multi-Processing (OpenMP*) is an API that supports multi-platform shared-memory parallel programming in all architectures. Intel® Threading Building Blocks (TBB) provides common parallel algorithm patterns in the form of function templates. Intel® Cilk™ Plus adds parallelism to new or existing programs. In this tutorial, you will be introduced to threading your application by compiling a version using OpenMP, Intel® TBB, and Intel® Cilk™ Plus. You will then see the performance difference between the serial version and versions using these features.
Using Intel® Math Kernel Library for Matrix Multiplication	Intel® Math Kernel Library (Intel MKL) implements many types of operations for performing math computations. In this tutorial, you will use Intel MKL to multiply matrices, measure the performance of matrix multiplication, and control threading.

Find Composer XE Documentation

Intel® C++ Compiler XE 13.1 User and Reference Guides	This document shows you how to compile your application, how to optimize your application by using optimization tools and other libraries, and describes all of the compiler options. The Intel® C++ Compiler includes man page information. You can view the man page information by first setting the environment variables, as described in Set the Environment Variables, and then typing `man icc` in a terminal session. The compiler documentation also includes man pages detailing the code coverage tool (`man codecov_c`) and test prioritization tool (`man tselect_c`). Read a summary of compiler options from the command line by invoking the compiler with the `-help` option.
Intel® Debugger Documentation	This document contains the user guide for the Intel® debugger that you can use to debug your code.
Intel® Integrated Performance Primitives Documentation	These documents contain the user guide for an extensive library of multicore-ready, highly-optimized software functions that you can use for multimedia data processing and communications applications.
Intel® Math Kernel Library Documentation	These documents contain the user guide for a library with optimized and scalable math functions. You can use these functions to create applications with maximum performance and seamlessly provide forward scaling from current to future many-core platforms.
Intel® Threading Building Blocks Documentation	These documents contain the user and reference guides for a C++ template library that you can use to create reliable, portable and scalable parallel applications.
Release Notes	This document contains the most up-to-date information about the product: Known issues and limitations System requirements for installing the product Technical support
Included Samples	This document contains a list of sample projects for use with the compiler. The samples illustrate compiler optimizations, features, tools, and programming concepts.
Additional Learning Resources	Internet site with additional resources to help you use this product. To search for additional learning resources on other Intel® software products, go to the Intel® Learning Lab.
Intel® Software Documentation Library	Internet site with documentation for other Intel software products.

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