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Intel parallel studio xe 2015.Intel® Parallel Studio XE Release Notes and New Features

By admin on July 15, 2021 0 Comments

 

Intel parallel studio xe 2015.Intel Parallel Studio

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Navigation menu.Intel® Parallel Studio XE Composer Edition for Fortran Linux*

 

Intel® Parallel Studio XE Composer Edition for Fortran Linux* includes: It allows you to compile Fortran source files on Linux* operating systems for Intel® 64 and IA architectures. You can. Intel® Parallel Studio XE Composer Edition for Fortran Linux* Update 2 includes the following components: Intel® Fortran Compiler XE for building applications that run on IA, Intel® 64 architecture systems and Intel® Xeon Phi™ coprocessors running the Linux* operating system. 77 rows · Aug 31,  · After the initial release of Intel® Parallel Studio XE Update 1 build .

 

Intel parallel studio xe 2015.Intel® Parallel Studio XE Composer Edition, download – Intel Community

Intel® Parallel Studio XE Composer Edition for Fortran Linux* includes: It allows you to compile Fortran source files on Linux* operating systems for Intel® 64 and IA architectures. You can. Intel® Parallel Studio XE Composer Edition for Fortran Linux* Update 2 includes the following components: Intel® Fortran Compiler XE for building applications that run on IA, Intel® 64 architecture systems and Intel® Xeon Phi™ coprocessors running the Linux* operating system. Intel® Parallel Studio XE Update 1 Composer Edition for C++ OS X* includes the following components: Intel® C++ Compiler for building applications that run on Intel-based Mac systems.
 
 
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Intel® Parallel Studio XE 2015 Composer Edition for Fortran Linux*
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Intel Parallel Studio – Wikipedia

Fortran samples installed. 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. Before you can use these tools, 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.

You can view the compiler man page information by typing man ifort in a terminal session. Read a summary of compiler options from the command line by invoking the compiler with the -help option.

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. 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:. 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 on 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 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. In this tutorial, you will be introduced to compiling sample code that contains a coarray and control the number of processes in the application.

In this tutorial, you will use Intel MKL to multiply matrices, measure the performance of matrix multiplication, and control threading. 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. By using this document, in addition to any agreements you have with Intel, you accept the terms set forth below.

You may not use or facilitate the use of this document in connection with any infringement or other legal analysis concerning Intel products described herein. You agree to grant Intel a non-exclusive, royalty-free license to any patent claim thereafter drafted which includes subject matter disclosed herein. A “Mission Critical Application” is any application in which failure of the Intel Product could result, directly or indirectly, in personal injury or death.

Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked “reserved” or “undefined”.

Intel reserves these for future definition and shall have no responsibility whatsoever for conflicts or incompatibilities arising from future changes to them. The information here is subject to change without notice. Do not finalize a design with this information. The products described in this document may contain design defects or errors known as errata which may cause the product to deviate from published specifications.

Current characterized errata are available on request. Contact your local Intel sales office or your distributor to obtain the latest specifications and before placing your product order. Intel processor numbers are not a measure of performance. Processor numbers differentiate features within each processor family, not across different processor families.

Intel’s compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors.

Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision All rights reserved. Disclaimer and Legal Information Quick Links. 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.

These documents contain the user guide for a library with optimized and scalable math functions and subroutines. 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: Known issues and limitations System requirements for installing the product Technical support. Evaluation Guide Portal. 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.

Using Guided Auto Parallelism. Guided auto parallelism offers selective advice that you can implement on your application.

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