17.12.2020

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Build applications that scale for the future with optimized code that runs faster than ever.

The Intel Parallel Studio XE suite includes 10+ software development tools to help you build fast, scalable, reliable applications for enterprise, cloud, HPC, and AI. It comes with a bevy of benchmarks to prove it. This comprehensive tool suite simplifies the creation and modernization of code, and accelerates workloads with the latest techniques in vectorization, multi-threading, multi-node, and memory optimization.

A tricky part of using Fortran from C/C is the linking of the Fortran runtime libraries. The usual mode of operation for a Fortran developer is to run the Fortran compiler in a verbose mode, and look for the –L and –l flags used by the compiler. The flags are then used with the C/C compiler. This process is iterated over until the build. Fortran is a domain specific language. In particular I think that it is easier to write fast programs in Fortran than in C, by a scientist (not necessarily a computer science expert).

It combines industry-leading compilers, numerical libraries, performance profilers, and code analyzers so developers—C, C++, Fortran and Python*—can confidently optimize software delivering high performance, scalable code on today’s and future Intel platforms. Three editions are available to meet your needs:

Composer Edition includes industry-leading C++ and Fortran compilers, performance libraries, standards-based parallel models, and performance-optimized Python. Build fast code, faster.
Professional Edition includes a complete selection of compilers and libraries. Build your capabilities with a performance profiler, optimized vectorization, threading prototyping, and debugging tools for memory and threads.
Cluster Edition is the flagship suite. It includes all tools from the other versions, plus an MPI library, an MPI tuning and analysis tool, and an advanced cluster diagnostic system.

Overview

Intel Parallel Studio XE comes in three key editions based on your development needs.


INTEL PARALLEL STUDIO XE COMPOSER EDITION

Intel Parallel Studio Composer Edition delivers outstanding performance for your applications as they run on systems using Intel Core or Xeon processors. Microsoft Visual Studio 2017 and 2019 is a prerequisite on Windows and the gnu tool chain is supported on Linux and OS X. The Composer Edtion inklcudes following tools:

  • Intel C++ Compiler - industry-leading C and C++ application performance with built-in advanced parallelism support with OpenMP support.
  • Intel Fortran Compiler - industry-leading Fortran application performance with extensive support for Fortran standards, OpenMP, and more.
  • Intel Distribution for Python - Improves Python applications and speed up core computational packages with this performance-oriented distribution.
  • Intel Math Kernel Library (MKL) - extensive C, C++, and Fortran compatible math library that uses standard APIs for simple code integration.
  • Intel Threading Building Blocks - widely used C++ template library with rich set of components to efficiently implement higher-level, task-based parallelism.
  • Intel Integrated Performance Primitives (IPP) - optimised C++ library of software functions for multimedia processing, data processing, and communications applications.
  • Intel-provided Debug Solutions - based on GNU GDB for debugging on CPU, Intel GUP and FPGA.
  • Intel Data Analytics Acceleration Library (Intel DAAL) - a library which helps reduce the time it takes to develop high-performance data science applications.

INTEL PARALLEL STUDIO XE PROFESSIONAL EDITION

Professional Edition includes a complete selection of compilers and libraries. Build your capabilities with a performance profiler, optimized vectorization, threading prototyping, and debugging tools for memory and threads. The Professional Edtion inklcudes following tools:

  • Intel Inspector - quickly find memory leaks and memory allocation errors, locate difficult-to-find threading errors like data races and deadlocks and detect out of bounds accesses and dangling pointers.
  • Intel VTune Profiler - collect a rich set of data to tune CPU and GPU compute performance, multicore scalability, bandwidth, and more. Sort, filter, and visualise results for quick insight into performance bottlenecks and automate regression tests and collect data remotely using the powerful command line.
  • Intel Advisor - analyse, design, tune, and check your threading design before implementation, explore and test threading options without disrupting normal development and predict thread errors and performance scaling on systems with more cores.
  • Intel C++ Compiler - industry-leading C and C++ application performance with built-in advanced parallelism support with OpenMP support.
  • Intel Fortran Compiler - industry-leading Fortran application performance with extensive support for Fortran standards, OpenMP, and more.
  • Intel Distribution for Python - Improves Python applications and speed up core computational packages with this performance-oriented distribution.
  • Intel Math Kernel Library (MKL) - extensive C, C++, and Fortran compatible math library that uses standard APIs for simple code integration.
  • Intel Threading Building Blocks - widely used C++ template library with rich set of components to efficiently implement higher-level, task-based parallelism.
  • Intel Integrated Performance Primitives (IPP) - optimised C++ library of software functions for multimedia processing, data processing, and communications applications.
  • Intel-provided Debug Solutions - based on GNU GDB for debugging on CPU, Intel GUP and FPGA.
  • Intel Data Analytics Acceleration Library (Intel DAAL) - a library which helps reduce the time it takes to develop high-performance data science applications.


INTEL PARALLEL STUDIO XE CLUSTER EDITION

Cluster Edtion is the flagship suite. It includes all tools from the other versions, plus an MPI library, an MPI tuning and analysis tool, and an advanced cluster diagnostic system. The Cluster Edtion inklcudes following tools:

  • Intel MPI Library - performance - optimised MPI Library with sustained scalability: low latencies, higher bandwidth, and increased processes.
  • Intel Trace Analyzer and Collector - powerful MPI communications profiling and analysis with low overhead and effective visualization.
  • Intel MPI Benchmarks - perform a set of MPI performance measurements for point-to-point and global communication operations for a range of message sizes.
  • Intel Cluster Checker - Verify that cluster components work together seamlessly for improved uptime, productivity, and lower total cost of ownership.
  • Intel Inspector - quickly find memory leaks and memory allocation errors, locate difficult-to-find threading errors like data races and deadlocks and detect out of bounds accesses and dangling pointers.
  • Intel VTune Profiler - collect a rich set of data to tune CPU and GPU compute performance, multicore scalability, bandwidth, and more. Sort, filter, and visualise results for quick insight into performance bottlenecks and automate regression tests and collect data remotely using the powerful command line.
  • Intel Advisor - analyse, design, tune, and check your threading design before implementation, explore and test threading options without disrupting normal development and predict thread errors and performance scaling on systems with more cores.
  • Intel C++ Compiler - industry-leading C and C++ application performance with built-in advanced parallelism support with OpenMP support.
  • Intel Fortran Compiler - industry-leading Fortran application performance with extensive support for Fortran standards, OpenMP, and more.
  • Intel Distribution for Python - Improves Python applications and speed up core computational packages with this performance-oriented distribution.
  • Intel Math Kernel Library (MKL) - extensive C, C++, and Fortran compatible math library that uses standard APIs for simple code integration.
  • Intel Threading Building Blocks - widely used C++ template library with rich set of components to efficiently implement higher-level, task-based parallelism.
  • Intel Integrated Performance Primitives (IPP) - optimised C++ library of software functions for multimedia processing, data processing, and communications applications.
  • Intel-provided Debug Solutions - based on GNU GDB for debugging on CPU, Intel GUP and FPGA.
  • Intel Data Analytics Acceleration Library (Intel DAAL) - a library which helps reduce the time it takes to develop high-performance data science applications.

New features


What’s new in the 2020 edition

Modernize Code for Performance, Scalability, and Portability

  • Write applications that scale with improved parallel performance on the latest Intel® Xeon® and Intel® Core™ processors using Intel® Advanced Vector Extensions 512 (Intel® AVX-512) instructions.
  • Vectorize and thread your code using OpenMP* to take advantage of the latest SIMD-enabled hardware, including Intel AVX-512.
  • Speed up AI inferencing with compilers from Intel, Intel® Performance Libraries, and analysis tools that support Intel® Deep Learning Boost with Vector Neural Network Instructions (VNNI) in 2nd generation Intel® Xeon® Scalable processors.
  • Develop for large memories of up to 512 GB DIMMs with persistence. Identify, optimize, and tune Intel platforms for Intel® Optane™ DC persistent memory using Intel® VTune™ Profiler.
  • Use extended coarse-grain profiling with platform-level collection and analysis in Intel VTune Profiler to understand and optimize platform configuration for applications.
  • Perform cache simulation insights for vectorization with roofline analysis for L1, L2, L3, and DRAM in Intel® Advisor.
  • Support for the HPC cloud helps you take advantage of the AWS* Parallel Cluster* and AWS Elastic Fabric Adapter for low-latency, high-bandwidth communications for MPI applications with the Intel® MPI Library.
  • Supports an additional operating system: Amazon Linux 2*.
  • Stay up to date with the latest standards and integrated development environments (IDE):
    • Full C++ 2017 support with initial C++20 support
    • Full Fortran 2008 and expanded Fortran 2018
    • Python 3.7 support
    • Full OpenMP 4.5 and initial OpenMP 5.0 draft
    • Microsoft Visual Studio* 2019 integration

Flexibility for Your Needs
Access the latest Intel® Performance Libraries and Intel Distribution for Python via conda*, PIP*, Docker Hub*, APT GET, YUM, and NuGet.


Intel Parallel Studio XE 2020 Product Brief

Editions

Following matrix explains which products that are included in the different product editions

Links

Improve you knowledge

Read the latest edition of Intel Parallel Universe Magazine

Watch the recording of Alfasofts Intel Python webinar

Registrate to Intel Webinars

Parallel Programming Channel: Articles and news on parallel programming and code modernization

Alfasoft Intel Trainings and Webinars


User Guides

System Req.

Processor Requirements

Systems based on IA-32 architecture are supported as target platforms on Windows* and Linux*. Systems based on Intel® 64 architectures below are supported both as host and target platforms.
Systems based on Intel® 64 architecture:
• Intel® Core™ processor family or higher
• Intel® Xeon® E5 v5 processor families recommended
• Intel® Xeon® E7 v5 processor families recommended
NOTE: It is assumed that the processors listed above are configured into homogeneous clusters.

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Disk Space Requirements

12 GB of disk space (minimum) on a standard installation. Cluster installations require an
additional 4 GB of disk space.
NOTE: During the installation process, the installer may need up to 12 GB of additional temporary disk storage to manage the intermediate installation files.


Operating System Requirements

The operating systems listed below are supported by all tools on Intel® 64 Architecture. Individual tools may support additional operating systems and architecture configurations. See the individual tool release notes for full details.
• Amazon Linux 2
• Clear Linux
• Debian* 9.x, 10.x
• Fedora* 30.x
• Red Hat Enterprise Linux* 7.x, 8.x (equivalent CentOS versions supported, but not separately tested)
• SUSE Linux Enterprise Server* 12.x, 15.x
• Ubuntu* 16.04, 18.04, 19.04
• Microsoft* Windows* 10
• Microsoft* Windows* Server 2016, 2019
• macOS* 10.14, 10.15

The Intel MPI Library and Intel® Trace Analyzer and Collector are supported on Intel® Cluster Ready systems and HPC versions of the listed versions of Microsoft* Windows* Server. These tools are not supported on Ubuntu non-LTS systems.

Intel VTune Profiler, Intel Advisor, and Intel Inspector graphical user interfaces may require newer operating system versions. Please see their respective Release Notes documents for details.

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Installation on IA-32 hosts is no longer supported by any tools.


Memory Requirements

2 GB RAM (minimum)


Additional Software Requirements

Development for a 32-bit target on a 64-bit host may require optional library components
(ia32-libs, lib32gcc1, lib32stdc++6, libc6-dev-i386, gcc-multilib, g++-multilib) to be installed from your Linux distribution.

On Microsoft Windows* OS, the Intel® C/C++ Compiler and Intel® Fortran Compiler require a version of Microsoft Visual Studio* to be installed. The following versions are currently supported:
• Microsoft Visual Studio* 2017, 2019
• Microsoft Visual Studio Express* (only for command line compilation)

Fortran Dev C 2b 2b File

On macOS*, the Intel® C/C++ Compiler and Intel® Fortran Compiler require a version of Xcode* to be installed. The following versions are currently supported:
• Xcode* 10.x, 11.x

A 64-bit operating system host is required to use the Intel® VTune™ Profiler graphical user interface to analyze collected profile data. Command line profiling and reporting is supported on a 32-bit operating system host. On Linux*, the following packages must be installed for the

Intel® VTune™ Profiler GUI:
• GTK+3
• X.Org (v1.0 or higher, v1.7 or higher is recommended)
• X.Org X11 libXss runtime library
• Network Security Services library (v3.22 or higher)
• ALSA library

Licensing

Licensing

Intel Parallel Studio XE is offered as a perpetual license with no timeout. 1year support and maintenance is always included in the initial purchase. Two licensing models are available:

  • Named user is a system-locked license, and products are priced per named user.
  • Floating licenses can be shared by multiple users simultaneously on several systems, managed from a licensing server. Two- or five-seat licenses are available. When a license is released from one user, another user can request it.

Student and academic licenses are offered seperately.

Please contact us today for an offer!

Support

All product updates and Intel Premier Support services are included for one year. Intel Support gives you secure, web-based, engineer-to-engineer support.

Fortran Dev C%2b%2b

Use following links to get access to Intel Support

Alfasoft offers startup support to customers.

For renewal of Intel support and maintenance contracts, please contact Alfasoft via email at This email address is being protected from spambots. You need JavaScript enabled to view it. or call +46 (0)31 - 60 43 80.

Official Debian packages with high relevance

Basic Linear Algebra Subroutines 3, static library
Maintainer: Debian Science Team(Mo Zhou)
License: DFSG free

This package is a binary incompatible upgrade to the blas-devpackage. Several minor changes to the C interface have beenincorporated.

BLAS (Basic Linear Algebra Subroutines) is a set of efficientroutines for most of the basic vector and matrix operations.They are widely used as the basis for other high quality linearalgebra software, for example lapack and linpack. Thisimplementation is the Fortran 77 reference implementation foundat netlib.

This package contains a static version of the library.

Libelpa-dev
Eigenvalue SoLvers for Petaflop-Applications (Development version)
Maintainer: Debichem Team(Michael Banck)
License: DFSG free

ELPA is Eigenvalue SoLvers for Petaflop-Applications.

This version contains the Fortran90 modules and the static library.

Please cite: Parallel solution of partial symmetric eigenvalue problems from electronic structure calculations.Parallel Computing37:783-794(2011)
Libfftw3-dev
Library for computing Fast Fourier Transforms - development
Maintainer: Debian Science Team(Paul Brossier)
License: DFSG free

The FFTW library computes Fast Fourier Transforms (FFT) in one or moredimensions. It is extremely fast. This package contains the statically linkedlibrary, header files and test programs.

This package contains the header files and static libraries.For documentation, see libfftw3-doc.

Please cite: The Design and Implementation of FFTW3.(eprint)93(2):216–231(2005)
Libga-dev
Popcon: 6 users (5 upd.)*
License: DFSG free

GAlib contains a set of C++ genetic algorithm objects. The libraryincludes tools for using genetic algorithms to do optimization in any C++program using any representation and genetic operators. The documentationincludes an extensive overview of how to implement a genetic algorithm aswell as examples illustrating customizations to the GAlib classes.

This package contains the development files.

Libint-dev
Evaluate the integrals in modern atomic and molecular theory (devel)
Maintainer: Debichem Team(Michael Banck)
License: DFSG free

The LIBINT library is used to evaluate the traditional (electron repulsion)and certain novel two-body matrix elements (integrals) over CartesianGaussian functions used in modern atomic and molecular theory. The ideaof the library is to let computer write optimized code for computingsuch integrals. There are two primary advantages to this: much lesshuman effort is required to write code for computing new integrals, andcode can be optimized specifically for a particular computerarchitecture (e.g., vector processor).

LIBINT has been utilized to implement methods such as Hartree-Fock (HF)and Kohn-Sham density functional theory (KS DFT), second-orderMoeller-Plesset perturbation theory (MP2), coupled cluster singles anddoubles (CCSD) method, as well as explicitly correlated R12 methods.

This package contains the development header files.

Libint2-dev
Computation Chemistry Integral Evaluation Library (development files)
Maintainer: Debichem Team(Michael Banck)
License: DFSG free

The Libint2 library is used to evaluate the traditional (electronrepulsion) and certain novel two-body matrix elements (integrals) overCartesian Gaussian functions used in modern atomic and moleculartheory. The idea of the library is to let computer write optimizedcode for computing such integrals. There are two primary advantages tothis: much less human effort is required to write code for computingnew integrals, and code can be optimized specifically for a particularcomputer architecture (e.g., vector processor).

Libint2 has been utilized to implement methods such as Hartree-Fock(HF) and Kohn-Sham density functional theory (KS DFT), second-orderMoeller-Plesset perturbation theory (MP2), coupled cluster singles anddoubles (CCSD) method, as well as explicitly correlated R12 methods.

This package contains the static library and header files.

Liblapack-dev
Library of linear algebra routines 3 - static version
Maintainer: Debian Science Team(Mo Zhou)
License: DFSG free

LAPACK version 3.X is a comprehensive FORTRAN library that doeslinear algebra operations including matrix inversions, leastsquared solutions to linear sets of equations, eigenvectoranalysis, singular value decomposition, etc. It is a verycomprehensive and reputable package that has found extensiveuse in the scientific community.

This package contains a static version of the library.

Libmadness-dev
Numerical Environment for Scientific Simulation (development files)
Maintainer: Debichem Team(Adrian Bunk)
License: DFSG free

MADNESS (Multiresolution Adaptive Numerical Environment for ScientificSimulation) provides a high-level environment for the solution of integral anddifferential equations in many dimensions using adaptive, fast methods withguaranteed precision based on multi-resolution analysis and novel separatedrepresentations. There are three main components to MADNESS. At the lowestlevel is a new petascale parallel programming environment that increasesprogrammer productivity and code performance/scalability while maintainingbackward compatibility with current programming tools such as MPI and GlobalArrays. The numerical capabilities built upon the parallel tools provide ahigh-level environment for composing and solving numerical problems in many(1-6+) dimensions. Finally, built upon the numerical tools are newapplications with initial focus upon chemistry, atomic and molecular physics,material science, and nuclear structure.

This package contains the static libraries and the header files.

Libpsi3-dev
Quantum Chemical Program Suite (Development Libraries)
Maintainer: Debichem Team(Michael Banck)
License: DFSG free

PSI3 is an ab-initio quantum chemistry program. It is especially designed toaccurately compute properties of small to medium molecules using highlycorrelated techniques.

This package contains the static libraries and header files.

Libsc-dev
Popcon: 1 users (4 upd.)*
License: DFSG free

The Scientific Computing toolkit (SC) provides C++ class libraries forscientific computation. Included are classes for managing memory, saving andrestoring the state of objects, reading objects from an input file, parallelcommunication, matrix algebra, among others.

Class libraries supporting quantum chemistry applications are provided withthis distribution of SC.

This package includes the static libraries and header files.

Please cite: The Massively Parallel Quantum Chemistry Program (MPQC), Version 2.3.1, Curtis L. Janssen, Ida B. Nielsen, Matt L. Leininger, Edward F. Valeev, Joseph P. Kenny, Edward T. Seidl, Sandia National Laboratories, Livermore, CA.(2008)
Libscalapack-mpi-dev
Scalable Linear Algebra Package - Dev files for MPI
Maintainer: Debian Science Maintainers(Drew Parsons)
License: DFSG free

ScaLAPACK is the parallel version of LAPACK used on clusters.

There are packages for the shared libraries, for the static libraries andthe development files (this one) and for test programs.

Also included:

  • PBLAS, Parallel Basic Linear Algebra Subprograms
  • BLACS, Basic Linear Algebra Communication Subprograms

This is a dummy package which depends on the scalapack development packagesupporting the default implementation of MPI on this architecture.

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Libtiledarray-dev
Popcon: 1 users (0 upd.)*
License: DFSG free

TiledArray is a scalable, block-sparse tensor library that is designedto aid in rapid composition of high-performance tensor expressions,appearing for example in many-body quantum mechanics. It allows usersto compose tensor expressions of arbitrary complexity that closelyresembles the standard mathematical notation.

This package contains the static libraries and the header files.

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Libxc-dev
Library of Exchange-Correlation Functionals (development files)
Popcon: 8 users (7 upd.)*
License: DFSG free

LibXC is a library of exchange-correlation (XC) functionals fordensity-functional theory (DFT). The aim is to provide a portable, welltested and reliable set of exchange and correlation functionals thatcan be used by other codes.

This package contains the static library, the C headers and the Fortranmodules necessary for developers.

Please cite: Recent developments in Libxc - A comprehensive library of functionals for density functional theory.SoftwareX7:1-5(2018)
Mpi-default-dev
Popcon: 116 users (131 upd.)*
License: DFSG free

This metapackage depends on the development files of the recommended MPIimplementation for each platform, currently Open MPI on all of the platformswhere it exists, and MPICH on the others. The package which this depends onhas alternatives links for the shared libraries libmpi and libmpi++, and forcompilers mpicc, mpic++/mpicxx/mpiCC, mpif77 and mpi90 and their manpages.