Revision as of 13:39, 11 April 2017

Application Details

• Description:
• Version(s): XE parallel studio 2016, 2017
• Module(s): intel/2016, intel/compiler/64/2016, intel/ipp/64/11.0, intel/mkl/64/11.3, intel/mpi/64/5.1.3.181, intel/vtune/32/2016.2.181, intel/2017, intel/compiler/64/2016.2.181, intel/ipp/64/9.0.2, intel/mkl/64/11.3.2, intel/tbb/64/2016, intel/vtune/64/2016, intel/advisor/64/2016, intel/inspector/64/2016, intel/itac/64/9.1, intel/mkl/mic/11.3, intel/tbb/64/2016.2.181, intel/vtune/64/2016.2.181, intel/advisor/64/2016.2.181, intel/inspector/64/2016.2.181, intel/itac/64/9.1.2p, intel/mkl/mic/11.3.2, intel/vtune/32/2016
• Licence: Intel (closed source)

Usage Examples

Intel compilers are optimized to computer systems using processors that support Intel architectures. They are designed to minimize stalls and to produce code that executes in the fewest possible number of cycles. The Intel C++ Compiler supports three separate high-level techniques for optimizing the compiled program: interprocedural optimization (IPO), profile-guided optimization (PGO), and high-level optimizations (HLO). The Intel C++ compiler in the Parallel Studio XE products also supports tools, techniques and language extensions for adding and maintaining application parallelism on IA-32 and Intel 64 processors and enables compiling for Intel Xeon Phi processors and coprocessors.

• Profile-guided optimization refers to a mode of optimization where the compiler is able to access data from a sample run of the program across a representative input set. The data would indicate which areas of the program are executed more frequently, and which areas are executed less frequently. All optimizations benefit from profile-guided feedback because they are less reliant on heuristics when making compilation decisions.
• High-level optimizations are optimizations performed on a version of the program that more closely represents the source code. This includes loop interchange, loop fusion, loop unrolling, loop distribution, data prefetch, and more.
• Inter-procedural optimization applies typical compiler optimizations (such as constant propagation) but using a broader scope that may include multiple procedures, multiple files, or the entire program.

Modules

Compiler Use

Prerequisites

To invoke the compiler from the command line, first you need to load the module

[user@login01]$ module purge
[user@login01]$ module load intel/compiler/64/2016

Using the Command Line

To invoke the compiler from the command line, use a command similar to the following:

use a command similar to the following:

• For C source files: icc my_source_file.c
• For C++ source files: icpc my_source_file.cpp
• For Fortran source file : ifort my_source.f17

Following successful compilation, the compiler creates an executable file (usually a.out if not specified in the command line) in the current directory.

Intel Libraries

The size of the Intel compiler and its tools is beyond the scope of this document. However, Intel Release Notes of each component included in the Intel Parallel Studio XE suites below:

• C++ Compiler Release Notes
• Fortran Compiler Release Notes
• Math Kernel Library (Intel® MKL) Release Notes
• Integrated Performance Primitives (Intel® IPP) Release Notes
• Threading Building Blocks (Intel® TBB) Release Notes
• Data Analytics Acceleration Library (Intel® DAAL) Release Notes
• VTune™ Amplifier Release Notes
• Advisor Release Notes
• Inspector Release Notes
• MPI Library Release Notes
• Trace Analyzer and Collector Release Notes

Further Information

• https://software.intel.com/en-us/intel-parallel-studio-xe
• https://en.wikipedia.org/wiki/Intel_C%2B%2B_Compiler
• https://software.intel.com/en-us/articles/intel-parallel-studio-xe-release-notes

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