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Installing Intel® Performance Libraries and Intel® Distribution for Python* Using APT Repository

Published on February 16, 2017, updated July 9, 2019By Gergana S.

Installation guide for the Intel® Performance Libraries and Intel® Distribution for Python through APT repos.

Installing Intel® Performance Libraries and Intel® Distribution for Python* via popular package managers

Published on January 19, 2017, updated July 8, 2019By Gergana S.

Select Package for Download Instructions

Developers can now easily access the following Intel® Software Development Tools through several Linux* and Windows* package managers at no cost:

Intel® Math Kernel Library Intel® Threading Building...

How to Get Intel® Math Kernel Library, Intel® Integrated Performance Primitives, or Intel® Data Analytics Acceleration Library

Published on June 4, 2017, updated July 3, 2019By Ying H.

This page provides links to the current ways to get the Intel® Performance Libraries: Intel® Math Kernel Library (Intel® MKL), Intel® Integrated Performance Primitives (Intel® IPP), or Intel® Data Analytics Acceleration Library (Intel® DAAL)....

Installing Intel® Performance Libraries and Intel® Distribution for Python* Using YUM Repository

Published on February 16, 2017, updated July 1, 2019By Gergana S.

This page provides general installation and support notes about the Community forum supported Intel® Performance Libraries and Intel® Distribution for Python* as they are distributed via the YUM repositories described below.

These...

Intel® Data Analytics Acceleration Library Release Notes and New Features

Published on September 11, 2017, updated May 30, 2019By Shaojuan Z.

This page provides the current Release Notes for Intel® Data Analytics Acceleration Library (Intel® DAAL). The notes are categorized by year, from newest to oldest, with individual releases listed within each year.

Click a version to...

Intel® Threading Building Blocks Documentation

Last updated: May 29, 2019

Intel® Threading Building Blocks - 2019

Introducing Intel® Threading Building Blocks

Developer Guide

Developer Reference

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Developer Reference for Intel® Math Kernel Library - Fortran

Last updated: May 23, 2019

The Intel® Math Kernel Library (Intel® MKL) improves performance with math routines for software applications that solve large computational problems. Intel MKL provides BLAS and LAPACK linear algebra routines, fast Fourier transforms, vectorized math functions, random...

Developer Reference for Intel® Math Kernel Library - C

Last updated: May 23, 2019

The Intel® Math Kernel Library (Intel® MKL) improves performance with math routines for software applications that solve large computational problems. Intel MKL provides BLAS and LAPACK linear algebra routines, functions for Deep Neural Networks, fast Fourier transforms,...

Developer Guide for Intel® Math Kernel Library for Windows

Last updated: May 23, 2019

Revision: 067

What's New

Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly optimized, extensively threaded routines for applications that require...

Developer Guide for Intel® Math Kernel Library for Linux

Last updated: May 23, 2019

Revision: 068

What's New

Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly optimized, extensively threaded routines for applications that require...

Developer Guide for Intel® Math Kernel Library for macOS

Last updated: May 23, 2019

Revision: 067

What's New

Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly optimized, extensively threaded routines for applications that require...

Get started with Intel® Math Kernel Library for Linux

Last updated: May 23, 2019

Intel® Math Kernel Library (Intel® MKL) helps you achieve maximum performance with a math computing library of highly optimized, extensively threaded routines. The library has C and Fortran interfaces for most routines. You can also find...

Intel® MPI Library Developer Reference for Windows* OS

Last updated: May 22, 2019

What's New

This Developer Reference provides you with the complete reference for the Intel® MPI Library. It is intended to help a user fully utilize the Intel MPI Library functionality. For examples and detailed functionality description,...

Intel® Data Analytics Acceleration Library API Reference

Browse Intel® DAAL APIs for C++, Java*, and Python* languages.

Developer Reference for Intel® Integrated Performance Primitives Cryptography 2019

Last updated: May 22, 2019

What's New

The Intel® Integrated Performance Primitives (Intel® IPP) is a software library that provides a comprehensive set of application domain-specific highly optimized functions for signal and image processing and...

Developer Guide for Intel® Integrated Performance Primitives

Last updated: May 22, 2019

Legal Information

What's New

The Intel® Integrated Performance Primitives (Intel® IPP) is a software library that provides a comprehensive set of application domain-specific highly optimized functions for signal, data, and image...

Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 4

Last updated: May 22, 2019

What's New

Intel® Data Analytics Acceleration Library (Intel® DAAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source,...

Notes for Intel® MKL Vector Statistics

Last updated: May 22, 2019

Vector Statistics (VS) is a component of Intel® Math Kernel Library (Intel® MKL). VS performs a range of statistical computations, including random number generation, summary statistics and convolution calculations.

This document...

Getting started with using MKL in Intel® System Studio IDE

Published on November 29, 2017, updated May 20, 2019By Jing X.

Learning how to take advantage of Intel® System Studio IDE to use MKL

Intel® Math Kernel Library 2019 Bug Fixes

Published on September 11, 2018, updated April 24, 2019By Nguyen, Khang T

Intel® Math Kernel Library (Intel® MKL) 2019 Update 4 (May 2019).

MKLD-3969 Fixed Segmentation fault when static linking to sequential MKL. MKLD-4026 Fixed the error returned by MKL_SPARSE_D_EV when the matrix size is 16 million....

Tutorial: Using Intel® Math Kernel Library 2019 for Matrix Multiplication - Fortran

This tutorial demonstrates how you can use Intel® Math Kernel Library (Intel® MKL)  to multiply matrices, measure the performance of matrix multiplication, and control threading.

Notes for Intel® MKL Vector Statistics

Last updated: March 7, 2019

Vector Statistics (VS) is a component of Intel® Math Kernel Library (Intel® MKL). VS performs a range of statistical computations, including random number generation, summary statistics and convolution calculations.

This document...

Intel® MKL 2019 VS Random Number Generator Performance Data

Last updated: March 7, 2019

Performance data obtained using vector statistics (VS) random number generator (RNG) including CPE (clocks per element) unit of measure, basic random number generators (BRNG), generated distribution generators, and length of gnerated vectors....

Intel® MPI Library Developer Guide for Windows* OS

Last updated: March 7, 2019

To download the previous versions of documentation, refer to this page.

Find useful information about using the Intel® MPI Library in the following topics:

Introducing Intel® MPI Library

Introducing Intel® MPI Library gives a...

Intel® MPI Library Developer Reference for Linux* OS

Last updated: March 7, 2019

What's New

This Developer Reference provides you with the complete reference for the Intel® MPI Library. It is intended to help a user fully utilize the Intel MPI Library functionality. For examples and detailed functionality description,...

Intel® MPI Library Developer Guide for Linux* OS

Last updated: March 7, 2019

To download the previous versions of documentation, refer to this page.

Find useful information about using the Intel® MPI Library in the following topics:

Introducing Intel® MPI Library

Introducing Intel® MPI Library gives a...

Using Intel® Math Kernel Library for Matrix Multiplication - C

Last updated: March 6, 2019

C Language Sample Application Code

Legal Information

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Get started with Intel® Math Kernel Library for Windows

Last updated: March 6, 2019

Intel® Math Kernel Library (Intel® MKL) helps you achieve maximum performance with a math computing library of highly optimized, extensively threaded routines. The library has C and Fortran interfaces for most routines. You can also find...

Get started with Intel® Math Kernel Library for macOS

Last updated: March 6, 2019

Intel® Math Kernel Library (Intel® MKL) helps you achieve maximum performance with a math computing library of highly optimized, extensively threaded routines. The library has C and Fortran interfaces for most routines. You can also find...

Download Documentation: Intel® Parallel Studio XE (Current and Previous)

Published on November 9, 2018, updated February 1, 2019

This page provides downloadable documentation packages for all editions of Intel® Parallel Studio XE (Cluster, Composer, Professional).

Each package includes documentation for Intel Parallel Studio XE components, such as compilers (Intel...

Intel MPI Library and MPSS compatibility

Published on July 16, 2014, updated December 13, 2018By Gergana S.

The following table lists all supported versions of the Intel® MPI Library and the Intel® Manycore Platform Software Stack (MPSS). Use this as a reference on the cross-compatibility between the library, MPSS, and all supported fabrics.

...

Intel® MPI Library Release Notes

Published on September 11, 2018, updated November 8, 2018By James T.

This page provides the current Release Notes for Intel® MPI Library. The notes are categorized by year, from newest to oldest, with individual releases listed within each year.

Click a version to expand it into a summary of new features...

Intel® Threading Building Blocks Release Notes and New Features

Published on August 14, 2017, updated November 8, 2018By Mark L.

This page provides the current Release Notes for Threading Building Blocks. The notes are categorized by year, from newest to oldest, with individual releases listed within each year.

Click a version to expand it into a summary of new...

Using Intel® Math Kernel Library for Matrix Multiplication - Fortran

Last updated: November 7, 2018

Fortran Language Sample Application Code

Legal Information

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Developer Reference for Intel® Integrated Performance Primitives 2019

Last updated: November 7, 2018

What's New

PDF format Developer Reference for Intel® Integrated Performance Primitives, Volume 1: Signal and Data Processing

PDF format Developer Reference for Intel® Integrated Performance Primitives, Volume 2: Image...

Intel® MKL 2019 Vector Mathematics Performance and Accuracy Data

Last updated: September 24, 2018

Vector Mathematics (VM) computes elementary functions on vector arguments. VM includes a set of highly optimized implementations of computationally expensive core mathematical functions (power, trigonometric, exponential, hyperbolic, and others...

Developer Guide for Intel® Integrated Performance Primitives (Intel® IPP) 2019

Use the Intel® Integrated Performance Primitives (Intel® IPP) to improve performance of multimedia, enterprise data, embedded, communications, and scientific/technical applications. The primitives are a common interface for thousands of commonly used algorithms. Using these primitives enables you to automatically tune your application to many generations of processors without changes in your application.

Developer Guide for Intel® Integrated Performance Primitives (Intel® IPP) Cryptography 2019

Last updated: September 24, 2018By Nikita K.

Use Intel® Integrated Performance Primitives (Intel® IPP) Cryptography to improve performance of cryptographic operations in multimedia, enterprise data, embedded, communications, and scientific/technical applications. The primitives are a common interface for thousands of commonly used algorithms. Using these primitives enables you to automatically tune your application to many generations of processors without changes in your application.

Tutorial: Image Blurring and Rotation with Intel® Integrated Performance Primitives (Intel® IPP) 2019

Last updated: September 17, 2018By Arina A.

Discover how to use Intel® Integrated Performance Primitives (Intel® IPP) image processing functions to implement image blurring and rotation in your application.

Developer Reference for Intel® Integrated Performance Primitives (Intel® IPP) Cryptography 2019

Last updated: September 17, 2018By Arina A.

The Intel® Integrated Performance Primitives (Intel® IPP) is a software library that provides a comprehensive set of application domain-specific highly optimized functions for signal and image processing and cryptography.

Developer Reference for Intel® Integrated Performance Primitives (Intel® IPP) 2019 - Volume 1: Signal Processing

Last updated: September 17, 2018By Arina A.

This manual describes the structure, operation and functions of the Intel® Integrated Performance Primitives (Intel® IPP) for Intel® architecture that operate on one-dimensional signals. The manual explains the concepts of Intel IPP, as well as specific data type definitions and operation models used in the signal processing domain, and provides detailed descriptions of the Intel IPP signal processing functions. The functions are combined in groups by their functionality. Each group of functions is described in a separate chapter.

Developer Reference for Intel® Integrated Performance Primitives (Intel® IPP) 2019 - Volume 2: Image Processing

Last updated: September 13, 2018By Arina A.

This manual describes the structure, operation, and functions of the Intel® Integrated Performance Primitives (Intel® IPP) that operate on two dimensional signals and are used for image and video processing. The manual explains the Intel IPP concepts, as well as specific data type definitions and operation models used in the image and video processing domain, and provides detailed descriptions of the Intel IPP image and video processing functions. The Intel IPP functions are combined in groups by their functionality.

Tutorial: Develop an Application With Intel® Threading Building Blocks

Last updated: September 11, 2018

Intel® Threading Building Blocks

C++ Sample Application Code

Document number: 327305-002US

Legal Information

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Get Started with Intel® Data Analytics Acceleration Library for Linux*

Last updated: September 11, 2018

Intel® Data Analytics Acceleration Library (Intel® DAAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining,...

Get Started with Intel® Data Analytics Acceleration Library for macOS*

Last updated: September 11, 2018

Intel® Data Analytics Acceleration Library (Intel® DAAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining,...

Get Started with Intel® Integrated Performance Primitives 2019 for macOS*

Last updated: September 11, 2018

Intel® Integrated Performance Primitives (Intel® IPP) is a software library that provides a broad range of functionality, including general signal and image processing, computer vision, data compression, and string manipulation.

Intel...

Tutorial: Image Blurring and Rotation with Intel® Integrated Performance Primitives 2019

Last updated: September 11, 2018

Legal Information

Start here

Get Started with Intel® Data Analytics Acceleration Library for Windows*

Last updated: September 11, 2018

Intel® Data Analytics Acceleration Library (Intel® DAAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data...

Get Started with Intel® Integrated Performance Primitives Cryptography 2019 for Linux* OS

Last updated: September 11, 2018

Intel® Integrated Performance Primitives (Intel® IPP) Cryptography is a software library that provides a broad range of secure and efficient cryptographic algorithm implementations.

Intel IPP Cryptography is available as part of the...

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