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Composer Edition Documentation
Intel® Parallel Studio XE 2015 Composer Edition for C++ Linux* includes:
It allows you to compile C and C++ source files on Linux* operating systems for Intel® 64 and IA-32 architectures. You can also use these tools to create applications targeting Intel® Many Integrated Core Architecture (Intel® MIC Architecture) and Intel® Graphics Technology.
Start using the tools in the Eclipse* C/C++ Development Toolkit (CDT) or from a command line.
The product has tutorials with step by step instructions and sample code that you can compile into an application using the Intel compiler.
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.
Before you can use these tools, 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.
The following procedure uses the compilervars.sh script:
Open a terminal session.
Run the compiler environment script compilervars.sh:
source <install-dir>/bin/compilervars.sh <arg>
where <install-dir> is the directory structure containing the compiler /bin
directory, and <arg> is one of the following architecture arguments:
intel64: Compilers and libraries for Intel® 64 architectures only
ia32: Compilers and libraries for IA-32 architectures only
Note The default path for <install-dir> is /opt/intel/.
Intel® C++ Compiler 15.0 for Linux* 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 compiler. You must obtain them separately.
You must first install and configure Eclipse* on your system and then configure Eclipse* to use the compiler. To install Eclipse*, refer to the Eclipse* documentation.
To configure Eclipse* to use the Intel compiler, follow these steps:
Start Eclipse*.
Select Help > Install New Software.
Next to the Work with field, click the Add button. The Add Site dialog opens.
Click the Local
button, and browse to the <install_dir>/composer_xe_2015.0.xxx/eclipse_support/cdt8.0/eclipse
directory.
Note The default path for <install-dir> is /opt/intel/.
Click OK.
Deselect Group items by category.
Select the options beginning with Intel, and click Next.
Follow the installation instructions.
When asked if you want to restart Eclipse*, select Yes.
When Eclipse* restarts, you can create and work with CDT* projects that use the compiler.
To invoke the compiler from Eclipse*:
Open your project.
Select the project in the Project Explorer.
Select Project > Build Project.
Before you can use these tools, you must first set the environment variables as described above in Set the Environment Variables.
To invoke the Intel® C++ Compiler from the command line:
For C source files, use a command similar to the following:
icc my_source_file.c
For C++ source files, use a command similar to the following:
icpc my_source_file.cpp
Following successful compilation, the compiler creates an executable file in the current directory.
You can find documentation and samples using information in this table.
| Samples |
Installed samples
Online samples
|
| User and Reference Guide for Intel® C++ Compiler | This document shows you how to compile your application, how to optimize your application by using optimization tools and other libraries, and it 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 and then typing Read a summary of compiler options from the command line by invoking the compiler with the |
| 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. |
| Debugger Documentation | These documents describe how to configure and use the debuggers supplied with this edition. |
| Release Notes | This document contains the most up-to-date information about the product:
|
| Intel® Software Documentation Library | This is the online documentation library for Intel software products. |
This is the evaluation guide portal. You can download step-by-step guides. |
These tutorials work with the supplied sample code to demonstrate important features in this edition.
| 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 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. |
| Using the Intel® Xeon Phi™ Coprocessor | A system with the Intel® Xeon Phi™ coprocessor
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 based on the Intel® Xeon Phi™ products to complete this tutorial. |
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