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Numpy/Scipy with Intel® MKL and Intel® Compilers

This guide is intended to help current NumPy/SciPy users to take advantage of Intel® Math Kernel Library (Intel® MKL).

Improve Intel MKL Performance for Small Problems: The Use of MKL_DIRECT_CALL

One of the big new features introduced in the Intel MKL 11.2 is the greatly improved performance for small problem sizes. In 11.2, this improvement...

Installing and Building MXNet with Intel® MKL

The latest version of MXNet includes built-in support for the Intel® Math Kernel Library (Intel® MKL) 2018. The latest version of the Intel MKL...

Intel® System Studio Release Notes

Below are links to Intel® System Studio Release Notes. For more information, please visit our technical articles library. Intel System Studio 2017...

Intel® Math Kernel Library (Intel® MKL) and pkg-config tool

    The pkg-config tool[1] is a widely used tool that many users apply to their makefiles. Intel® Math Kernel Library (Intel® MKL) provides pkg-...

Enabling Intel® MKL in PETSc applications

      PETSc(Portable, Extensible Toolkit for Scientific Computation) is an open source suite of data structures and routines for the parallel...

Intel® Math Kernel Library Benchmarks (Intel® MKL Benchmarks)

Intel MKL Benchmarks package includes Intel® Distribution for LINPACK* Benchmark, Intel® Distribution for MP LINPACK* Benchmark for Clusters, and...

Build R-3.4.1 with Intel® C++ and Fortran Compilers and Intel® MKL on Linux*

R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical...

Getting Started with Intel® Math Kernel Library 2018 for Linux*

Last updated: November 8, 2017

Intel® Math Kernel Library (Intel® MKL) helps you achieve maximum performance with a computing math library of highly optimized, extensively...

Getting Started with Intel® Math Kernel Library 2018 for macOS*

Last updated: November 8, 2017

Intel® Math Kernel Library (Intel® MKL) helps you achieve maximum performance with a computing math library of highly optimized, extensively...

Getting Started with Intel® Math Kernel Library 2018 for Windows*

Last updated: November 8, 2017

Intel® Math Kernel Library (Intel® MKL) helps you achieve maximum performance with a computing math library of highly optimized, extensively...

Extending R with Intel MKL

Introduction The Using Intel MKL with R article discusses building R with the Intel® Math Kernel Library (Intel® MKL) BLAS and LAPACK to improve the...

Using Intel® MKL with R

Overview R is a programming language for statistical computing. The open source package also provides an environment for creating and running R ...

Which Components of Intel® Math Kernel Library are "Redistributables"?

This article provides details on which Intel® MKL libraries are redistributable for your applications.

Introduction to Conditional Numerical Reproducibility (CNR)

Starting with 11.0 release,  Intel® MKL introduces a feature called Conditional Numerical Reproducibility (CNR) which provides functions for ...

Signal Processing Usage for Intel® System Studio

Employing performance libraries can be a great way to streamline and unify the computational execution flow for data intensive tasks, thus minimizing...

Compiling and Linking Intel® Math Kernel Library with Microsoft* Visual C++*

The article provides hints for linking your program with Intel® MKL from the Microsoft* Visual Studio Environment: Microsoft* Visual Studio 2017/...

Performance Tips of Using Intel® MKL on Intel® Xeon Phi™ Coprocessor

This page documents specific tips and the best known methods of using the Intel® Math Kernel Library on the Intel® Xeon Phi™ coprocessor. For general...

How to Build an Intel® MKL Application with Intel® Visual Fortran Compiler

This document describes the steps to build an Intel® MKL application with Intel® Visual Fortran Compiler XE for Windows* OS integrated with Microsoft...

FFT length and layout advisor

Multidimensional Fast Fourier Transform (FFT) - selecting optimal sizes and data layout

Intel® MKL and Intel® IPP: Choosing a High Performance FFT

Last updated: October 19, 2017

The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.

Parallelism in the Intel® Math Kernel Library

Last updated: October 17, 2017

The Intel® Math Kernel Library (Intel® MKL) contains a large collection of functions that can benefit math-intensive applications.

Using Intel® MKL in MATLAB Executable (MEX) Files

Last updated: October 15, 2017

This document describes common error messages and solutions when using Intel® MKL 10.3 with MATLAB R2008a on Windows*.

Silent Installation Guide for Intel® Parallel Studio XE Composer Edition for OS X*

Here are the steps you can follow to install the Intel® Parallel Studio XE Composer Edition for OS X* version 2016 in silent mode.Step 0) Start a "...

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

Select Package for Download Instructions Developers can now easily access the following Intel® Software Development Tools through several Linux*...

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

This page provides general installation and support notes about the Community forum supported Intel® Performance Libraries and Intel® Distribution...

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

This page provides general installation and support notes about the Community forum supported Intel® Performance Libraries and Intel® Distribution...

Intel MKL Threaded Functions

Threaded functions included in Intel MKL

Intel® Math Kernel Library (Intel MKL) Linkage and Distribution - Quick Reference Guide

The article describes various types of linkage models offering in Intel® Math Kernel Library (Intel MKL) and which Intel MKL libraries are required...

How to analyze MKL code using Intel® Advisor 2018

Introduction Vectorization Advisor is a vectorization optimization tool that lets you identify loops that will benefit most from vectorization,...

Building Large-Scale Image Feature Extraction with BigDL at JD.com

This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using...

Release Notes for Intel® Performance Libraries with Community Licensing

Intel® provides developers the no-cost community licensing for Intel® Performance Libraries. The software libraries includes Intel® Math Kernel...

Improve Performance Using Vectorization and Intel® Xeon® Scalable Processors

Introduction Modern CPUs include different levels of parallelism. High-performance software needs to take advantage of all opportunities for...

Intel® System Studio 2018 Beta - Release Notes

This page provides the current Release Notes for the Intel® System Studio 2018 Beta product. To get product updates, log in to the Intel® Software...

Using Intel® Math Kernel Library Compiler Assisted Offload in Intel® Xeon Phi™ Processor

Introduction Beside native execution, another usage model of using the Intel® Math Kernel Library (Intel® MKL) on an Intel® Xeon Phi™ processor is...

Intel® Math Kernel Library on Intel® Xeon Phi processors for Windows*

Intel® Math Kernel Library (Intel MKL) support on Intel® Xeon Phi has been extended to 64 bit versions of Microsoft* Windows from Intel MKL 11.1...

Improving Performance of Math Functions with Intel® Math Kernel Library

Introduction Intel® Math Kernel Library1 (Intel® MKL) is a product that accelerates math processing routines to increase the performance of an...

Which version of the Intel® IPP, Intel® MKL and Intel® TBB Libraries are Included in the Intel® Composer Bundles?

Intel IPP, Intel MKL, Intel TBB versions included in Intel Composer

How to Get Intel® MKL/IPP/DAAL

This page provides links to the current ways to get the Intel® performance library: Intel® Math Kernel Library, Intel® Integrated Performance...

Intel® MKL and C++ template libraries

There are a few existing open source C++ template libraries that can be linked with Intel® MKL. Please refer to the documentation placed on the web-...

Using Intel® Math Kernel Library with Arduino Create

Overview This article presents use cases and provides examples which make use of the Intel® Math Kernel Library (Intel® MKL). Arduino Create*, a...

Setting number_of_user_threads for Intel® Math Kernel Library FFTW3 wrappers

Last updated: September 14, 2017

Consider the case when you Create a FFTW3 plan and use the plan for sequential DFT computation on each thread in your parallel region Use Intel...

Verbose Mode Supported in Intel® MKL

Introduction: We Introduced a useful verbose mode support feature since the Intel® Math Kernel Library (Intel® MKL) 11.2, for BLAS and LAPACK...

Intel® Parallel Studio XE 2018 Professional Edition for Windows

Last updated: September 12, 2017

Product tour with videos and samples Learn when and how to use the Intel Parallel Studio XE components in a typical software development workflow...

Using Intel® MKL in your C# program

This article explains how to create a DLL from the Intel® Math Kernel Library static libraries and access its functionality from within your C#...

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