Documentation

578 Search Results

Refine by

    Results for:

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-...

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...

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

Last updated: September 11, 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: September 11, 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 Linux*

Last updated: September 11, 2017

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

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#...

Intel® Math Kernel Library Release Notes and New Features

This page provides the current Release Notes for Intel® Math Kernel Library. The notes are categorized by year, from newest to oldest, with...

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...

Link your Project to MKL libraries

Introduction How to link your project to MKL libraries, linking tips for MKL libraries, and Intel® Math Kernel Library compiler issues.   Intel®...

Manufacturing Package Fault Detection Using Deep Learning

Executive Summary Intel's Software and Services Group engineers recently worked with assembly and test factory engineers on a proof of concept...

Intel® MKL LAPACK Function Finding Advisor

Last updated: August 18, 2017

Intel(R) Math Kernel Library - Introducing Vectorized Compact Routines

Introduction          Many high performance computing applications depend on matrix operations performed on large groups of matrices of small sizes...

New ILP64 ( 64-bit integer) pardiso_64 interface of PARDISO is now available

The new ILP64 ( 64-bit integer ) version of the PARDISO, namely PARDISO_64, is now available. The interface of Pardiso_64 is equal to the interface...

Machine Learning and Knowledge Reasoning Probing with Intel® Architecture

This article presents a performance test of Intel® tuning platform composed by Intel® processor, Intel® C++ Compiler XE and Intel® Math Kernel...

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...

Optimize Matrix Operations Using the Intel® Math Kernel Library (Intel® MKL) for Linux*

Last updated: July 17, 2017Video length: 1 min

Shows Intel® Math Kernel Library (Intel® MKL) performance by comparing a triply nested loop to a DGEMM routine.

Intel® Math Kernel Library (Intel® MKL) 2017 Install Guide

Please see the following links available online for the latest information regarding the Intel® Math Kernel Library (Intel® MKL): Intel® MKL Main...

Intel® MKL PARDISO

This is a compilation of all the Knowledge Base articles related to Intel® MKL PARDISO.

Intel® Math Kernel Library LAPACK Function Finding Advisor

Introduction The Intel® Math Kernel Library (Intel® MKL) LAPACK domain provides a huge variety of routines. To see what routines are recommended for...

Using Intel® MPI Library on Intel® Xeon Phi™ Product Family

This document is designed to help users get started writing code and running MPI applications using the Intel® MPI Library on a development platform...

Installing and Building MXNet with Intel® MKL

The latest version of MXNet includes built-in support for the Intel® Math Kernel Library (Intel® MKL) 2017. The latest version of the Intel MKL...

Get Onboard with the Intel® Parallel Studio XE 2018 Beta

Last updated: April 24, 2017Video length: 39 min

Join technical experts to discuss trends in next-gen tools for AI/Machine Learning/Deep Learning, containerization, and threading on Intel platforms.

Performance of Classic Matrix Multiplication Algorithm on Intel® Xeon Phi™ Processor System

Matrix multiplication (MM) of two matrices is one of the most fundamental operations in linear algebra. The algorithm for MM is very simple, it could...

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

Last updated: April 11, 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 (Beta) for macOS*

Last updated: April 11, 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 (Beta) for Windows*

Last updated: April 11, 2017

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

Pages