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Composer Edition Documentation
Intel® Parallel Studio XE 2015 Composer Edition for Fortran Linux* includes:
It allows you to compile Fortran 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).
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/.
Before you can use these tools, you must first set the environment variables as described above in Set the Environment Variables.
ifort my_source_file.F90.Following successful compilation, the compiler creates an executable file in the current directory.
You can find documentation and samples using information in this table.
| Fortran samples (installed) | Lists the installed sample projects for use with the compiler. The samples illustrate compiler optimizations, features, tools, and programming concepts. |
This document shows you how to compile your application, optimize your application by using optimization tools and other libraries, use compiler options, understand heterogeneous programming support in the compiler, and it includes a Fortran Language reference. The Intel® Fortran Compiler includes man pages.
You can view the compiler man page information by typing Read a summary of compiler options from the command line by invoking the compiler with the |
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These documents contain the user guide for a library with optimized and scalable math functions and subroutines. You can use these functions and subroutines to create applications with maximum performance, and seamlessly provide forward scaling from current to future many-core platforms. |
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| Debugger Documentation | These documents describe how to configure and use the debuggers supplied with this edition. |
This document contains the most up-to-date information about the product:
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| 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.
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 on the sample code. You will then compare the performance of the serial version and the version that was compiled with the auto-vectorizer. |
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Guided auto parallelism offers selective advice that you can implement on your application. In this tutorial, you will improve the performance of the sample code 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. |
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Coarray Fortran support parallel programming using a Single Program Multiple Data (SPMD) model and supports both shared memory and distributed memory in a single method. In this tutorial, you will be introduced to compiling sample code that contains a coarray and control the number of processes in the application. |
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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. |
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| 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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